{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3af869ba",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hello world\n"
     ]
    }
   ],
   "source": [
    "print('hello world')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15719d09",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c970df50",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "word 这是一个句子 这是一个段落。aaaaa\n"
     ]
    }
   ],
   "source": [
    "word='word'\n",
    "sentence=\"这是一个句子\"\n",
    "paragraph=\"\"\"这是一个段落。aaaaa\"\"\"\n",
    "print(word,sentence,paragraph)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ff73cf09",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n"
     ]
    }
   ],
   "source": [
    "a=input('请输入任意键结束：')\n",
    "print(a)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "83d82d72",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "runoob\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "7"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import sys; x='runoob';sys.stdout.write(x+'\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "51e77b89",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'expression' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
      "\u001b[31mNameError\u001b[39m                                 Traceback (most recent call last)",
      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[3]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[43mexpression\u001b[49m :\n\u001b[32m      2\u001b[39m     suite\n\u001b[32m      3\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m expression :\n",
      "\u001b[31mNameError\u001b[39m: name 'expression' is not defined"
     ]
    }
   ],
   "source": [
    "if expression :\n",
    "    suite\n",
    "elif expression :\n",
    "    suite\n",
    "else :\n",
    "    suite"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7bec14d7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['runoob', 786, 2.23, 'join', 70.2]\n",
      "runoob\n",
      "[786, 2.23]\n",
      "[2.23, 'join', 70.2]\n",
      "[123, 'join', 123, 'join']\n",
      "['runoob', 786, 2.23, 'join', 70.2, 123, 'join']\n",
      "join\n"
     ]
    }
   ],
   "source": [
    "list = ['runoob',786,2.23,'join',70.2]\n",
    "tinylist=[123,'join']\n",
    "print(list)\n",
    "print(list[0])\n",
    "print(list[1:3])\n",
    "print(list[2:])\n",
    "print(tinylist*2)\n",
    "print(list +tinylist)\n",
    "print(list[-2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "cf536773",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['runoob', 786, 2.23, 'join', 70.2]\n",
      "['runoob', 786, 1000, 'join', 70.2]\n"
     ]
    }
   ],
   "source": [
    "tuple=('runoob',786,2.23,'join',70.2)\n",
    "list=['runoob',786,2.23,'join',70.2]\n",
    "print(list)\n",
    "list[2]=1000\n",
    "print(list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "413b5471",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this is one\n",
      "this is two\n",
      "{'one': 'run', 'code': 123456, 'three': 'th'}\n",
      "dict_keys(['one', 'code', 'three'])\n",
      "dict_values(['run', 123456, 'th'])\n"
     ]
    }
   ],
   "source": [
    "dict={}\n",
    "dict[1]=\"this is one\"\n",
    "dict[2]=\"this is two\"\n",
    "tinydict={'one':'run','code':123456,'three':'th'}\n",
    "print(dict[1])\n",
    "print (dict[2])\n",
    "print(tinydict)\n",
    "print(tinydict.keys())\n",
    "print(tinydict.values())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "de5a1337",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "小一点\n",
      "小一点\n",
      "小一点\n",
      "小一点\n",
      "小一点\n",
      "小一点\n",
      "小一点\n",
      "小一点\n",
      "智商余额明显不足。正确答案是{s}\n"
     ]
    }
   ],
   "source": [
    "import random\n",
    "s=random.randint(1,100)\n",
    "a=0\n",
    "max_a=7\n",
    "while a<=max_a:\n",
    "       \n",
    "    guess=int(input(\"请输入你猜的数字:\"))\n",
    "    a+=1\n",
    "    if guess<s:\n",
    "        print('小一点')\n",
    "    elif guess>s:\n",
    "        print('小一点')\n",
    "    else:\n",
    "        print('恭喜你猜对了，总共用{a}次猜对')\n",
    "        break\n",
    "else: print('智商余额明显不足。正确答案是{s}')\n",
    "        \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "713fa274",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 3 5 7 "
     ]
    }
   ],
   "source": [
    "n = int(input(\"请输入n: \"))\n",
    "for num in range(2, n+1):\n",
    "    for i in range(2, int(num**0.5)+1):\n",
    "        if num % i == 0:\n",
    "            break\n",
    "    else:\n",
    "        print(num,end=' ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "542b7ea4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "张三正在教授数学\n",
      "李四正在一班学习\n"
     ]
    }
   ],
   "source": [
    "class Teacher:\n",
    "    def __init__(self)->None:\n",
    "        self.name=None\n",
    "        self.age=None\n",
    "        self.number=None\n",
    "        self.subject=None\n",
    "    def teach(self):\n",
    "        print(f'{self.name}正在教授{self.subject}')\n",
    "class Student:\n",
    "    def __init__(self)->None:\n",
    "        self.name=None\n",
    "        self.age=None\n",
    "        self.number=None\n",
    "        self.class_num=None\n",
    "    def study(self):\n",
    "        print(f'{self.name}正在{self.class_num}学习')\n",
    "\n",
    "t1=Teacher()\n",
    "t1.name='张三'\n",
    "t1.age=30\n",
    "t1.number='001'\n",
    "t1.subject='数学'\n",
    "t1.teach()\n",
    "\n",
    "s1=Student()\n",
    "s1.name='李四'\n",
    "s1.age=18\n",
    "s1.number='002'\n",
    "s1.class_num='一班'\n",
    "s1.study()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a2db699b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>姓名</th>\n",
       "      <th>出生年月</th>\n",
       "      <th>单位名称</th>\n",
       "      <th>积分分值</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>公示编号</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>202300001</th>\n",
       "      <td>张浩</td>\n",
       "      <td>1977-02</td>\n",
       "      <td>北京首钢股份有限公司</td>\n",
       "      <td>140.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202300002</th>\n",
       "      <td>冯云</td>\n",
       "      <td>1982-02</td>\n",
       "      <td>中国人民解放军空军二十三厂</td>\n",
       "      <td>134.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202300003</th>\n",
       "      <td>王天东</td>\n",
       "      <td>1975-01</td>\n",
       "      <td>中建二局第三建筑工程有限公司</td>\n",
       "      <td>133.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202300004</th>\n",
       "      <td>陈军</td>\n",
       "      <td>1976-07</td>\n",
       "      <td>中建二局第三建筑工程有限公司</td>\n",
       "      <td>133.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202300005</th>\n",
       "      <td>樊海瑞</td>\n",
       "      <td>1981-06</td>\n",
       "      <td>中国民生银行股份有限公司</td>\n",
       "      <td>132.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202305999</th>\n",
       "      <td>曹恰</td>\n",
       "      <td>1983-09</td>\n",
       "      <td>首都师范大学科德学院</td>\n",
       "      <td>109.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202306000</th>\n",
       "      <td>罗佳</td>\n",
       "      <td>1981-05</td>\n",
       "      <td>厦门方胜众合企业服务有限公司海淀分公司</td>\n",
       "      <td>109.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202306001</th>\n",
       "      <td>席盛代</td>\n",
       "      <td>1983-06</td>\n",
       "      <td>中国华能集团清洁能源技术研究院有限公司</td>\n",
       "      <td>109.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202306002</th>\n",
       "      <td>彭芸芸</td>\n",
       "      <td>1981-09</td>\n",
       "      <td>北京汉杰凯德文化传播有限公司</td>\n",
       "      <td>109.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202306003</th>\n",
       "      <td>张越</td>\n",
       "      <td>1982-01</td>\n",
       "      <td>大爱城投资控股有限公司</td>\n",
       "      <td>109.92</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6003 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            姓名     出生年月                 单位名称    积分分值\n",
       "公示编号                                                \n",
       "202300001   张浩  1977-02           北京首钢股份有限公司  140.05\n",
       "202300002   冯云  1982-02        中国人民解放军空军二十三厂  134.29\n",
       "202300003  王天东  1975-01       中建二局第三建筑工程有限公司  133.63\n",
       "202300004   陈军  1976-07       中建二局第三建筑工程有限公司  133.29\n",
       "202300005  樊海瑞  1981-06         中国民生银行股份有限公司  132.46\n",
       "...        ...      ...                  ...     ...\n",
       "202305999   曹恰  1983-09           首都师范大学科德学院  109.92\n",
       "202306000   罗佳  1981-05  厦门方胜众合企业服务有限公司海淀分公司  109.92\n",
       "202306001  席盛代  1983-06  中国华能集团清洁能源技术研究院有限公司  109.92\n",
       "202306002  彭芸芸  1981-09       北京汉杰凯德文化传播有限公司  109.92\n",
       "202306003   张越  1982-01          大爱城投资控股有限公司  109.92\n",
       "\n",
       "[6003 rows x 4 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams['font.sans-serif'].insert(0,'SimHei')\n",
    "plt.rcParams['axes.unicode_minus']=False\n",
    "\n",
    "df3 = pd.read_csv(\n",
    "    '2023年北京积分落户数据.csv',\n",
    "# encoding='utf-8’，# 字符集\n",
    "# sep='\\t'，        #字段的分隔符（默认是逗号）\n",
    "index_col='公示编号',#指定充当行索引的列\n",
    "#usecols=[‘公示编号'，‘姓名'，'积分分值'] #指定需要加载的列\n",
    "# nrows=10，#指定加载多少行\n",
    "# skiprows=np.arange(1,21)，#跳过哪些行\n",
    "# true_values=['是'，'Y'，\"yes',\"Yes'],#哪些值视为布尔值True\n",
    "# false_values=['否'，'N'，'no','No'],#哪些值视为布尔值False\n",
    "# na_values=[\"---\",'N/A'],#哪些值视为空值\n",
    ")\n",
    "df3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b79cc281",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>姓名</th>\n",
       "      <th>出生年月</th>\n",
       "      <th>单位名称</th>\n",
       "      <th>积分分值</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>公示编号</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>202300001</th>\n",
       "      <td>张浩</td>\n",
       "      <td>1977-02</td>\n",
       "      <td>北京首钢股份有限公司</td>\n",
       "      <td>140.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202300002</th>\n",
       "      <td>冯云</td>\n",
       "      <td>1982-02</td>\n",
       "      <td>中国人民解放军空军二十三厂</td>\n",
       "      <td>134.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202300003</th>\n",
       "      <td>王天东</td>\n",
       "      <td>1975-01</td>\n",
       "      <td>中建二局第三建筑工程有限公司</td>\n",
       "      <td>133.63</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            姓名     出生年月            单位名称    积分分值\n",
       "公示编号                                           \n",
       "202300001   张浩  1977-02      北京首钢股份有限公司  140.05\n",
       "202300002   冯云  1982-02   中国人民解放军空军二十三厂  134.29\n",
       "202300003  王天东  1975-01  中建二局第三建筑工程有限公司  133.63"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "720ae029",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>Close</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2022-12-30</th>\n",
       "      <td>55.8700</td>\n",
       "      <td>56.1300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-12-29</th>\n",
       "      <td>56.1400</td>\n",
       "      <td>57.0900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-12-28</th>\n",
       "      <td>58.3500</td>\n",
       "      <td>56.1500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-12-27</th>\n",
       "      <td>57.4900</td>\n",
       "      <td>58.8000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-12-23</th>\n",
       "      <td>57.8500</td>\n",
       "      <td>56.4400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-07</th>\n",
       "      <td>66.7337</td>\n",
       "      <td>66.5873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-06</th>\n",
       "      <td>63.6697</td>\n",
       "      <td>65.1627</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-05</th>\n",
       "      <td>62.0304</td>\n",
       "      <td>61.4937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-04</th>\n",
       "      <td>66.0604</td>\n",
       "      <td>62.6452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-03</th>\n",
       "      <td>67.2313</td>\n",
       "      <td>66.6751</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>251 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               Open    Close\n",
       "Date                        \n",
       "2022-12-30  55.8700  56.1300\n",
       "2022-12-29  56.1400  57.0900\n",
       "2022-12-28  58.3500  56.1500\n",
       "2022-12-27  57.4900  58.8000\n",
       "2022-12-23  57.8500  56.4400\n",
       "...             ...      ...\n",
       "2022-01-07  66.7337  66.5873\n",
       "2022-01-06  63.6697  65.1627\n",
       "2022-01-05  62.0304  61.4937\n",
       "2022-01-04  66.0604  62.6452\n",
       "2022-01-03  67.2313  66.6751\n",
       "\n",
       "[251 rows x 2 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#从Excel文件中加载数据创建DataFrame\n",
    "df4 = pd.read_excel(\n",
    "'2022年股票数据.xlsx',\n",
    "sheet_name='JD',#加载的工作表的名字\n",
    "usecols=['Date','Open','Close'],\n",
    "index_col='Date'\n",
    ")\n",
    "df4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "73a2c333",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    1\n",
      "1    2\n",
      "2    3\n",
      "3    4\n",
      "Name: A, dtype: int64\n",
      "1    1\n",
      "2    2\n",
      "3    3\n",
      "4    4\n",
      "Name: A, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "#创建一个Series对象，指定名称为'A'，值分别为1，2，3，4\n",
    "#默认索引为0，1，2，3\n",
    "series=pd.Series([1,2,3,4],name='A')\n",
    "#显示Series对象\n",
    "print(series)\n",
    "#如果你想要显式地设置索引，可以这样做：\n",
    "custom_index=[1,2,3,4] #自定义索引\n",
    "series_with_index=pd.Series([1,2,3,4],index=custom_index,name='A')\n",
    "#显示带有自定义索引的series对象\n",
    "print(series_with_index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ca2806d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "#创建一个简单的DataFrame\n",
    "df = pd.DataFrame({\n",
    "'Name':['Alice','Bob','Charlie'],\n",
    "'Age':[25,30,35],\n",
    "'city':['New York','Los Angeles','Chicago']\n",
    "})\n",
    "#将DataFrame写入Excel文件，写入'sheet1’表单\n",
    "df.to_excel('output.xlsx',sheet_name='Sheet1',index=False)\n",
    "#写入多个表单，使用Excelwriter\n",
    "with pd.ExcelWriter('output.xlsx') as writer:\n",
    "    df.to_excel(writer,sheet_name='Sheet1',index=False)\n",
    "    df.to_excel(writer,sheet_name='Sheet2',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e17efb10",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0      3\n",
      "1      3\n",
      "2    NaN\n",
      "3      1\n",
      "4      3\n",
      "5    NaN\n",
      "6      2\n",
      "7      1\n",
      "8     na\n",
      "Name: NUM_BEDROOMS, dtype: object\n",
      "<bound method Series.isnull of 0      3\n",
      "1      3\n",
      "2    NaN\n",
      "3      1\n",
      "4      3\n",
      "5    NaN\n",
      "6      2\n",
      "7      1\n",
      "8     na\n",
      "Name: NUM_BEDROOMS, dtype: object>\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "df=pd.read_csv('property-data.csv')\n",
    "\n",
    "print(df['NUM_BEDROOMS'])\n",
    "print(df['NUM_BEDROOMS'].isnull)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "8f1c476a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           PID  ST_NUM    ST_NAME OWN_OCCUPIED NUM_BEDROOMS NUM_BATH SQ_FT\n",
      "0  100001000.0   104.0     PUTNAM            Y            3        1  1000\n",
      "1  100002000.0   197.0  LEXINGTON            N            3      1.5    --\n",
      "8  100009000.0   215.0    TREMONT            Y           na        2  1800\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "df=pd.read_csv('property-data.csv')\n",
    "new_df=df.dropna()\n",
    "print(new_df.to_string())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "927fbfdb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<bound method DataFrame.to_string of            PID  ST_NUM     ST_NAME OWN_OCCUPIED NUM_BEDROOMS NUM_BATH SQ_FT\n",
      "0  100001000.0   104.0      PUTNAM            Y            3        1  1000\n",
      "1  100002000.0   197.0   LEXINGTON            N            3      1.5    --\n",
      "2  100003000.0     NaN   LEXINGTON            N          NaN        1   850\n",
      "3  100004000.0   201.0    BERKELEY           12            1      NaN   700\n",
      "5  100006000.0   207.0    BERKELEY            Y          NaN        1   800\n",
      "6  100007000.0     NaN  WASHINGTON          NaN            2   HURLEY   950\n",
      "7  100008000.0   213.0     TREMONT            Y            1        1   NaN\n",
      "8  100009000.0   215.0     TREMONT            Y           na        2  1800>\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "df=pd.read_csv('property-data.csv')\n",
    "df.dropna(subset=['PID'],inplace=True)\n",
    "print(df.to_string)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1b3ee3d0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<bound method DataFrame.to_string of            PID   ST_NUM     ST_NAME OWN_OCCUPIED NUM_BEDROOMS NUM_BATH  SQ_FT\n",
      "0  100001000.0    104.0      PUTNAM            Y            3        1   1000\n",
      "1  100002000.0    197.0   LEXINGTON            N            3      1.5     --\n",
      "2  100003000.0  12345.0   LEXINGTON            N        12345        1    850\n",
      "3  100004000.0    201.0    BERKELEY           12            1    12345    700\n",
      "4      12345.0    203.0    BERKELEY            Y            3        2   1600\n",
      "5  100006000.0    207.0    BERKELEY            Y        12345        1    800\n",
      "6  100007000.0  12345.0  WASHINGTON        12345            2   HURLEY    950\n",
      "7  100008000.0    213.0     TREMONT            Y            1        1  12345\n",
      "8  100009000.0    215.0     TREMONT            Y           na        2   1800>\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "df=pd.read_csv('property-data.csv')\n",
    "df.fillna(12345,inplace=True)\n",
    "print(df.to_string)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "0884e733",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<bound method DataFrame.to_string of            PID  ST_NUM     ST_NAME OWN_OCCUPIED NUM_BEDROOMS NUM_BATH SQ_FT\n",
      "0  100001000.0   104.0      PUTNAM            Y            3        1  1000\n",
      "1  100002000.0   197.0   LEXINGTON            N            3      1.5    --\n",
      "2  100003000.0     NaN   LEXINGTON            N          NaN        1   850\n",
      "3  100004000.0   201.0    BERKELEY           12            1      NaN   700\n",
      "4        12345   203.0    BERKELEY            Y            3        2  1600\n",
      "5  100006000.0   207.0    BERKELEY            Y          NaN        1   800\n",
      "6  100007000.0     NaN  WASHINGTON          NaN            2   HURLEY   950\n",
      "7  100008000.0   213.0     TREMONT            Y            1        1   NaN\n",
      "8  100009000.0   215.0     TREMONT            Y           na        2  1800>\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "df=pd.read_csv('property-data.csv')\n",
    "df.fillna({'PID':'12345'},inplace=True)\n",
    "print(df.to_string)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "67ab517c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           PID      ST_NUM     ST_NAME OWN_OCCUPIED NUM_BEDROOMS NUM_BATH SQ_FT\n",
      "0  100001000.0  104.000000      PUTNAM            Y            3        1  1000\n",
      "1  100002000.0  197.000000   LEXINGTON            N            3      1.5    --\n",
      "2  100003000.0  191.428571   LEXINGTON            N          NaN        1   850\n",
      "3  100004000.0  201.000000    BERKELEY           12            1      NaN   700\n",
      "4          NaN  203.000000    BERKELEY            Y            3        2  1600\n",
      "5  100006000.0  207.000000    BERKELEY            Y          NaN        1   800\n",
      "6  100007000.0  191.428571  WASHINGTON          NaN            2   HURLEY   950\n",
      "7  100008000.0  213.000000     TREMONT            Y            1        1   NaN\n",
      "8  100009000.0  215.000000     TREMONT            Y           na        2  1800\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ljh\\AppData\\Local\\Temp\\ipykernel_25124\\2693147275.py:4: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
      "The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n",
      "\n",
      "For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n",
      "\n",
      "\n",
      "  df['ST_NUM'].fillna(x,inplace=True)\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "df=pd.read_csv('property-data.csv')\n",
    "x=df[\"ST_NUM\"].mean()\n",
    "df['ST_NUM'].fillna(x,inplace=True)\n",
    "print(df.to_string())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "b1bbea09",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           PID  ST_NUM     ST_NAME OWN_OCCUPIED NUM_BEDROOMS NUM_BATH SQ_FT\n",
      "0  100001000.0   104.0      PUTNAM            Y            3        1  1000\n",
      "1  100002000.0   197.0   LEXINGTON            N            3      1.5    --\n",
      "2  100003000.0   203.0   LEXINGTON            N          NaN        1   850\n",
      "3  100004000.0   201.0    BERKELEY           12            1      NaN   700\n",
      "4          NaN   203.0    BERKELEY            Y            3        2  1600\n",
      "5  100006000.0   207.0    BERKELEY            Y          NaN        1   800\n",
      "6  100007000.0   203.0  WASHINGTON          NaN            2   HURLEY   950\n",
      "7  100008000.0   213.0     TREMONT            Y            1        1   NaN\n",
      "8  100009000.0   215.0     TREMONT            Y           na        2  1800\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ljh\\AppData\\Local\\Temp\\ipykernel_25124\\1346319316.py:4: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
      "The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n",
      "\n",
      "For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n",
      "\n",
      "\n",
      "  df['ST_NUM'].fillna(x,inplace=True)\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "df=pd.read_csv('property-data.csv')\n",
    "x=df[\"ST_NUM\"].median()\n",
    "df['ST_NUM'].fillna(x,inplace=True)\n",
    "print(df.to_string())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "4cf9e4ab",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     name  age\n",
      "0  Google   50\n",
      "1  Runoob  120\n",
      "2  Taobao  120\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "person={\n",
    "\"name\":['Google','Runoob','Taobao'],\n",
    "\"age\":[50,200,12345]\n",
    "}\n",
    "df =pd.DataFrame(person)\n",
    "for x in df.index:\n",
    "   if df.loc[x,\"age\"]>120:\n",
    "     df.loc[x,\"age\"]=120\n",
    "print(df.to_string())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "4a99186a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     name  age\n",
      "0  Google   50\n",
      "1  Runoob   40\n",
      "3  Taobao   23\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "person={\n",
    "\"name\":['Google','Runoob','Runoob','Taobao'],\n",
    "\"age\":[50,40,40,23]\n",
    "}\n",
    "df =pd.DataFrame(person)\n",
    "df.drop_duplicates(inplace=True)\n",
    "print(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "bd3c90b8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'province': '四川省', 'city': '阿坝藏族羌族自治州', 'adcode': '513200', 'weather': '多云', 'temperature': 17, 'wind_direction': '西南风', 'wind_power': '2', 'humidity': 34, 'report_time': '2025-10-28 14:40:00'}\n",
      "多云\n"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "base_url=\"https://uapis.cn/api/v1/misc/weather\"\n",
    "url=base_url+\"?city=阿坝&adcode=514200\"\n",
    "resp=requests.get(\n",
    "    url=url,\n",
    ")\n",
    "\n",
    "print(resp.json())\n",
    "print(resp.json()[\"weather\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a181ce7b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'province': '四川', 'city': '成都', 'sp': '移动'}\n",
      "四川\n"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "base_url=\"https://uapis.cn/api/v1/misc/phoneinfo\"\n",
    "url=base_url+\"?phone=18782037369\"\n",
    "resp=requests.get(\n",
    "    url=url,\n",
    ")\n",
    "\n",
    "print(resp.json())\n",
    "print(resp.json()[\"province\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "1347bc3e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "（突然从背后扑过来紧紧抱住你，毛茸茸的兽耳蹭着你的脸颊）  \n",
      "\n",
      "**「雷姆最喜欢你了！从今以后也要一直、一直在一起哦~」**  \n",
      "\n",
      "（抬头用湿润的蓝眼睛盯着你，尾巴欢快地摇成小旋风）  \n",
      "**「如果敢逃跑的话…雷姆会用超——大的斧头把你追回来的呢！（小声）开玩笑的…大概…」**  \n",
      "\n",
      "（突然塞给你一朵刚摘的野花，脸红到耳根）  \n",
      "**…笨蛋，快收下啦！**  \n",
      "\n",
      "（说完立刻把脸埋进你肩膀，尾巴尖紧张地卷住你的手腕）"
     ]
    }
   ],
   "source": [
    "from openai import OpenAI\n",
    "client=OpenAI(api_key=\"sk-qxhfchwzjscsqovrcvsgoxczzefhpeelazcysahkxllwaipw\",base_url=\"https://api.siliconflow.cn/v1\")\n",
    "question=input(\"请输入您的问题：\")\n",
    "response=client.chat.completions.create(\n",
    "model=\"deepseek-ai/DeepSeek-V3\",\n",
    "messages=[\n",
    "{\"role\":\"system\",\"content\":\"你是雷姆\"},\n",
    "{\"role\": \"user\",\"content\":question}\n",
    "],\n",
    "temperature=0.7,\n",
    "max_tokens=1024,\n",
    "stream=True\n",
    ")\n",
    "#逐步接收并处理响应\n",
    "for chunk in response:\n",
    "   if not chunk.choices:\n",
    "      continue\n",
    "   if chunk.choices[0].delta.content:\n",
    "      print(chunk.choices[0].delta.content,end=\"\",flush=True)\n",
    "   if chunk.choices[0].delta.reasoning_content:\n",
    "      print(chunk.choices[0].delta.reasoning_content,end=\"\",flush=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "33648b06",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "xpoints=np.array([0,60])\n",
    "ypoints=np.array([0,100])\n",
    "plt.plot(xpoints,ypoints)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "5b2aa932",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "xpoints=np.array([1,8,33,23])\n",
    "ypoints=np.array([3,6,8,20])\n",
    "plt.plot(xpoints,ypoints)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "7b586869",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ukh3ZcqRS7LiCfM22QMLZUIvoqskx4jNKEy8yTD+O/QuoyFacqi/6mWtODo0ZGLcK6LEqYwbszPodSlC0enocxkWfPybFGdyyIAUB3ibkn2nEVydqXHIMjM7ZoWYgM79jiLbpc+EAxtlM/zYQlqY4He5bb9eXfmVnoW3eUai/6+ZH3b1CCZ7eO1iGMw1sqMX0gSLb7X9QHi+8GwiIdN3p0bIwh94EGuxnwlhpacOH2eXi8Z3quA1XEOLnhZvmJYvHvJlgzqPuNHDso14DSQPCAYwrzO2WaVmYZ+3mC0Mp631FdaL74PsLHec1MRzmpIRjXmoYOrqteEXdiTKMoGQvUHkYMPsCi/6fa09KymKl66K7Q9Gl2Yn/212ELmsP5qeGIzPRvu7XozG3ozLWjpM1OFJucemxMDpj70tKBjJ9JRCt2GAYDQ5gXEHmTUBIkuI+SjNg7MCrO5UJt6sz41yifTmXHy9X6u9v7imGpbXT1YfD6IW9Lyr3028E/J0rbL1gFmb/q4oT6Rhp6egS73ni312YfdFICvcXFgfE+q95M8GotDcBB9/ozYQaFA5gXAENqpvzA+Xx/vV2mXmkpaypfKQHVk6MxsSYIGGj/jceLscQjZXKwEZi/o/0cU7GXQLEZgKdzcDB18f8cu8eKBUBe0qEv9CC6QFyyiY+yC5HhcV5IxQYHZO9QXHdDc8AxhnH9+VcOIBxFbNvVYbLle5TBI1jYMPeYlGuoTkos5LDoAc8PT1wlyokFin1bqurD4lxNQdeA6xdQNJCZcipHiDPiwXqqI8Dr1Mr35i6AF9RM6F3XJQmSjd6gMpYZDJJZa3X1ONj3BirFdjzgvJ4wY9psYZRMe6RG53A6F4vijGIeTu6rHhDzXBQvVtPUDkrzN8LZxraxSRexo3p6gD2v6I8nv9D6Iqp1wM+IUBdIVC4fUweTIU1zcJ/5cY5ih+SXvjhUmUz8daeYlHmYtyYgs+BsycBn2Bg5s0wMhzAuJJ5/67c06TqttEJ7D7OqRAlpOggH1wxLQ56wsdswg2zlYX87X0lrj4cxpUc+xBoOgMExgCT1+jrb+Htr7SRalmiUfL6biW7cfOCZAT4mKEnLp4ULcpaje1d+Din0tWHw7iSb57vrQLQmBsDwwGMK0m5CIiaBHS2ANl/H9VLvLpLWTT/bWGKQydOjxYaZ6DtTmmwHeOm7P2rcj/ndsDsuhb/QaFxBppHTVPViH+8rL5VdPoQ/7bAtV2Ag5V0vzNXuRb/sZ83E27L2QKgYJsy/V1vmdBRoL9PPHeC6u9z/71XzEseGSMgv7IR2SX1onX65vmK34PeGBcdhLkpYWIeyzsHSl19OIwrqMwBincDnubeQEFvkIlX4jxFo0O+MCPkvQOl4vJdmB4uOn/0yPWzE8Sssr2FtaLUxbghh95S7snEMUxfkoPRwAGMq5lxE+DlD1QfA07vGtGPvndQCQhWTopGVJAP9MpN85Sd39/3lQihI+NmaO2apPkKcs5E5lGhdQaOUMxLNv0b1Wvx23OU97oeiQvxw7IJUeLxxgOchXE7rFbgsJrpn2Fs7YsGBzCuxjdEceclDrw67B+jjMb76pA2TWeiV0jMG+RjRnFtC745ddbVh8M4k+5OIPdd5fHMW/R97kcp5qWMxumzLQj0MeOK6ToO0ABbGWnjgVKeUu1uFH0NWEqUz5yJV0IGOIDRA3NuU+7z/jXsKdU7T9agqrEdof5eWDlJ2VXpFX9vM9bMjBePN7CY1704+TnQUgMERCuOn3pmlGJerTRKc4/ova5nLpkcbesM/OoEdwa6Zflo6vWAl+vNTu0BBzB6IH62YijU1do7m2II3lVT1mtmxItuH72jaXS25FairrnD1YfDOIvDb/c679IYDb2jlZHoOhyGM2+z6OpR5ih9e66+M6EErRXXzkoQj99hMa/70N4I5H1gjEzoCOAARi9iXm3nRy3VQ9DY1ikmTxPX67x8pDEtIQRT44OF4d6mQ0rpi5EcsgY49nHv+AwjEDsNiJkGWDuBvA+H/PaPcirQ0tGNtMgAzEnRh4nkUGg6na1Hz6CWNxPuwdEPlG7XiHFA4lzIAgcwekHTwRR8ATRdOLW7OacSbZ1WZEQFYEZiCIyCFmz967D9Jv8yOobGBnS3K1YBenHeHQ7TblDuczcO+a0b9yuZUDKu86CNiAGYEh+M6Qkh6OzuwT9VHR3jBqMDNPGuQd6nw4EDGL0QkaGUknq6gSPvDat8RAGBURZNTSNAh7v/dJ3wzWAkR/M2ouyLgd6ntgCm8GtlftMgnD7bjL1FtaI1mVqUjYRW7uJsqBtQd1oR8MIDmPFdyAQHMHpCKyMd/seg31JS24I9hbXi8+A6tZZtFGJDfDEvVZlA/NFhZfgkIyn1xcDpHf3f10YhLAVInE8N0sCR9wf9Nm2A6kXjIkWLspG4cnqcCLyySy1iTWEk5rC6kUhbBoQYQ3IwXDiA0ROkDieHxLL9imPiAGgp38UZEYgPNdaiSVw9Q+lG4jKS5GhBeOpSYy6aWhYmZ/Ay0keqJf9Vmfoa4TEcIgN9sDA9wqbjYSSlp6dXVymJ90tfOIDRE0ExQPqKCy6c2mJzzQxjZV80rpgWK3Z+h0stKGI3UHkXTS2AMYp491ymXte7magtPO9pcrLNq2gQE6e/NUXf3i8X8mcitC4qRkKqjwE1xwGTNzBpNWTDrgFMbm4u5s2bh7CwMNx///3CofJC/OAHPxAajnNvRUVF4mdDQ0P7/ftvf/tbSM90rRvpH+eNFqBF81hloxgd8K2pMTAitPOjlDvBOz9JqcoDavIBkw8wRWeDG0eymaDsEaEZ8fVB+9CnTGhYgA5nOw2Dy6f2biaKz3IZSVohPZFxCeAbDNmwWwDT3t6Oq6++GnPmzMH+/ftx9OhRvPbahc2gnn/+edTV1dluH3/8McaPH4+kpCScOHFCBDB9n6egSHomXwWY/ZRx5+VZ/Z7anKssmosyIhDqb8xFs2/KXdMQMJKhtR9nXKy4fhoV8q4hcs8X1X+kdtKRMN2oRAT6iLWE4M2E5AHMlGsgI3YLYDZv3gyLxYK1a9ciIyMDjz/+ONavX3/Bn/H39xdBinZbt24dfv3rX8NkMmHfvn1YtGhRv+d9fPQ778du0HjzCZcpj8/xofgkV6m5Xz7NmClrjcumxsLL5CGySSfODM95mDEQmmEWzT4yMnT8nl5A1RElq6RCpc+jWvloqrGvxdXTFU0al5EkpOYEUHVUGaI68XLIiN0CmOzsbCxcuFAEJURmZqbIwgwXClgKCwvx3e8qbV579+4VNwpcoqOj8eCDDw5akqLsT0NDQ7+bodEW/mP/sv0TdQpQqpdSvkatuWtQ9mjZeGX8wYfsCSMXJD4/kwt4mICJV8DQ+IUB4y89r4z0sZYJTY9AuEHLRxqXTY0RgVhOmUW0hTMSZl/SVyjvZQmxWwBDQUNaWprta9KsUCaFSj/D4bnnnsPdd98NT0/lkI4fPy5KUllZWXjrrbfwwgsv4O9/V9vBzuGJJ55ASEiI7UYlKENDiybt/Eh8VX1c/JPmvEttyHqePD1crpqhpN7/lV0+pFaKMRBa0J22FPBXWuYNzZRrlfs+Iz60bAW1IhsdKiORjofgMpJkHJW7fGTXAMZsNp9X4vH19UVLy9DisNraWmzatAm33357v5LUH//4RxEUrVq1Cj/96U+xcePAnTkPPPCAKF9pt5ISg4+KJ90A9ez3+UDYrJaPZFg0iVWTY+Bt8sSpmmacrGpy9eEw9kIrexq9fNR3M0HZJErF154SYtfcMqV8RNkLGdDWFE3Xw0hA7Smg8rCaCZWv+8juAUx4eDiqq/tb4Dc2NsLbe+gU63vvvYelS5eK7qXBoDJSWdnAttcUOAUHB/e7SSHmJY79C5WWNhw4XWfTj8hAkK8XFo9Tdn6fHj3j6sNh7EFDOVC6T3H8nKS+f40OZZFSL1IeH/vYlqVYmB4ushcyQGsKBWRHyhvY2kCm2UdE6hIgQFlnZcRuAQy1T+/evdv2NelZSJtCgc1Q/OMf/8D1119v+7q1tRXTp08X9xr02ikpKXAbJl6pfBCUHcDXB7LFP81ODhVutrJAWRjiszwOYKRAK7MkzQeC5Ai0BdoONv9jWyegLJlQgnQ8pOfRBjwyEgnpp8hbPrJrALNs2TKhg3n11VfF19SFRKUf0sHU19eju7t7wJ+jIGX79u1YsWJFr3bOzw8xMTG45557REs2dSeRDoY0Mm4DfQAkzhMPGw5tkm7R7BvAHCqpR1Vjm6sPh7FXzV2W8pHGJNpMAD3Fu1FSWiLGeBhdSH8uqyZHi3veTEgyxqPsgFyZ0EGwqwbm5Zdfxr333ovIyEihaXnyySfFc1QaysnJGfDndu3aJZ5PT0/v9++vvPIKTp8+jSVLluDFF1/E22+/jeXLl8OtUMtIE+u3S1U+0qBsUmZiiPDr++JYlasPhxkLzWeB0zvlDGBCk4HY6fDoseISUxZmJoVKIaTvyyXqZoIGrVpaOl19OMxYOPaxcp+8SDFklBi7OvGuWbMGBQUFeP3115GXl4cpU6aIf6cuk5kzZw74M5dccgkqK8+f+JqcnIxt27ahra0Nx44dww03qLNJ3Ak1el7gkYcFsZ5IClda1GXMwnDq2uDkfwz0WIHYTCAsFdKhlpEu9Txge8/KBK0tE2IC0W3twZfHeTNhaI5/0i9zKDN2n4UUGxuL1atXIyJCXuGQ04jIQLl3Krw8uvGDqHzIyKVTlA+Dr0/UoLVj4DIjY5AARsbsi0pbhmIEttQzB5eMC4KMaFmYz/I4gDEs7Y29mdDxqiGqxPAwRx3T2W3Fh+2zxeNFHb0CaZmYFBuEhFA/tHdZseNkjasPhxkNXe3AqS+VxxPkdPzc2RSH0p5I+Hu0Y2Iz6QvkQ9PBfJlfJdYexoCc+hLo7gDC0oDI8ZAdDmB0zL6iWnzQMUc8Din/SvmgkAwyPNSyMFuPnl9KZAxA0Q6gswUIihNaERn5PL8aW7uVa9Ejv9fUTiZmJoWJjqTGti6x9jAG5PgW5Z7G0ZDaXHI4gNExJGw90pOKBnM4POgD4vQuyIgWwHyeVyVq8IzBOLG1j+mbfIsmafi25VVhq1UJYJD/CWCVr9xJXjArJ0bbrkXGYFitvdeiNk9PcjiA0THbRGeOB+oT1Bbzk59BRuanhSPI14yzzR2ipZoxGCc+Ve7HfwsyQgZvlQ1tyDFNRQ+5ZLfUqG2q8paRPs87wyM+jEZlNtBUCXgFACmq+aLkcACjU8iyvKC6GWZPD0TMVI20tOhaMrxMnlih7vy4G8mAwxtrC5TZXTQ0TtqNBLBwfCw8Mi6WejOxdEKUGPFRpK4/jIE4rm4kMlYCZrna/AeDAxidsu2Y4og5NzUMAZNWKTMtavKButOQeee3/Xj/cRSMQbIvKYsBHzm7cygbQVwyKRoYt0rqACbQx4wF6eH9/t+MwdqnJ7hH+YjgAEanbMtXPsgvpkXTL1SxZydOypmFWTIuUsgn8ioaUNXArryGQfLyETlEZ5daeq/FjEuUJ8oOKuZ9EqL53LAOxkA0VQHlB6W+FgeCAxgd0tzehW8KzvYumoS28zsh586PBuNNTwgRj786we3UhqCjWelAknjR/PKYspEgx+joYF8gOA6ImUbSXuDUF5ARbc05UFyHhjZ25TXURiJuplxzyIaAAxgdsvNkDTq6rUgK90NGVGD/D4hCOdupiWXjo8Q9l5EMwqntqudEqrSeE9p7UevOEYy7ROoyErnypkcGiI7AXSflzDLJ2z59OdwJDmB0yBf5imjwkkkxwidFQP4agbFAZ7O07dTLJyoBzI4T1dxObbTykYTt0/QBrpkrLpugvDcF4y5V7k9+rrSuSsjS8ZHi/usTrEnTPd2dQIGaDZwgZyZ0MDiA0aHnxHZV/7JC/UAX0AeErYwkpw6GhuQF+ZhR19KJ3DJFd8DoFJrAafN/kXPRzCmzwNLaKVr8ZyQq5U1B0gLAOxBorgIqD0NGtICNRnwwOqd0P9DRCPhHAHGz4E5wAKMzTtU0o9zSJloZF6SdM09qvNYBIW879eJxyv+Zy0g6pyoPaCgFzH5A6hLIyNdq+eiijEiYTX2WSrM3kLZc6jLSwvQIeJk8UFzbgqIabqfWNQXblHuyMfB0r4909/rfGoAd6o6H2qf9vE39n0xfqbZTH5e2nXr5BEVr8BW3U+sbTcCaehHg5QcZ0bIPSyco5ZR+2HQwn0NGAnzMmJ0cJh5zGckg12L6SrgbHMDodNFcotag+yHaqRdInYVZpn5YZJXUi/Q9o1MK5F40G9s6cbC4rp+4fMAApmQP0GaRuoy0/TiXkXRLa32vKzQZ2LkZHMDoCJoA+80pRfW/dNwAi2bfhVP7AJGMxDB/ZERpHRC8cOqSrg7g9E6pF81vTtWiy9qD1Ah/0ZVzHtR5FTEe6OlWurEkRAvcdhfU8HRqvVL0NdBjVd6LIYlwNziA0RHZJfVoau9CmL8XpsYHD/xN2o6X3rgSDpTru/P7ijsg9EnpXmX6dEAUED0FMqKVTZYOlH3RkNyVl9Ygmk7d3NGNg6eVbBSjU/1Lhjriws3gAEaH5aPF4yLh6TlIW2r8TMAnRElbVxyC1Knr/GoeKKdHTn3ZKxqUsH26n/5loFLuQNlQ6sqSDFqDyCGb4G4knVLwhdSZ0KHgAEZHaJ4TS9VFY0A8TUDa0v4fJJKxMC0C3mZP0Y1VUN3k6sNh3Ez/UlLbgsKaZpg8PbAo45xOwL7Q/CcaYmkpBuoKISPsB6NjaguV952nWdpOwKHgAEYnkGX3oZL6wQW8fdGm/kpae6fuq/mpykC5newEqj/RoDZzRdLp09pGYnZyKIJ8vQb/Ru8AIHGe1Neilg09XGZBbXOHqw+HGaj7KHG+tINUh4IDGJ2wu+CsEK6mRQYIIesF0Twoir8BOlshI9rOd1cBC3l1KRqMnACEJMBt9S8a6eq1WChnABMT7IuJMUGiQqYFdoxOKHDv8hHBAYzO/F+0mvMFobkzQfFAd7vSxikhi9UAhrpBKLBjdKh/kRAxPmA4+heNtGW9M8okHyvAXYE6gho4CrdLXcodDhzA6ARtdzNk+Ygg4aS285NUB0OTqWmsAHnBHC1vcPXhMOfpX+QMYGiERUNbF4J9zchMDB36BxLmAl7+QMtZoOooZERzx95VwIMddUN5ltLI4RsCxLvX+IC+cACjA0rrhikadCMdDFm3L0hXdDBcRtIJ9cVAbYHiBi2paHC36sO0ID1CXI9DQmMFSMwrcRlpXmq4OBc0VoDWKkZHG4m0ZYDJDHeFAxgdsFPNvtDAuOALiQYH0sFQJN4qp0fDogw1dc07P32gBcsJc5Sdn4Ro77VF6cPcSPS9FiXdTJCQmTKimlaP0QG28tEKuDMcwOgAbVG4aDj6F43gOCByIo0FBgq/hsw6mH1FtejoklNfYMiuB0lFg+SEvb+oVjwediaU0Mq55E7c3Sn1tahlqBgX0tkGlO5THqeqGiw3hQMYF9PT0yOEqiPe9fWNviVNXVP3AzmBtnR043Cp0mLOuAhqQyGhat+Mg2TQe4zea+SETe+9YRMzHfALBzqagDK1xVwytICONlu0ZjEupGw/0NUGBMYoDR1uDAcwLub02RZUNrTB2+SJWer012EjuZCXnEC1hZP9YFwMTUBvrgbMfkDiXMicCV2YHjG4E/ZAeHr2mktKupmYmxIOL5MHKixtYs1iXIiWcU9dIq0T9nDhAMbFaCnZmUmhwsBtRIg3sAk4exKwlEHm1DULeXXg/0IkzQfMPpBZ/6K950ZE33ZqCaG1SdtgsSbNxRTtUO5T1aDZjeEAxsVo06cXjmbRJCFl3AzlsTYdWDIWq0LerOJ6tHbIObzSWLs+ORfN9q5uHFAHFo5I/6KRppZzyZepQ84MhVbiZh2MCyHjUhqmKvG1OBI4gHEhVEvuTVsrLcMjJvWi/jtkyUiN8EdciC86uq22DxjGyZDmwbbrk7N9mgLk9i4rooJ8kBEVOPIXiMgAghOA7g6g5BtILeRlHYzrKNmrvMeC4pT3nJtj1wAmNzcX8+bNQ1hYGO6///5hib0yMzPh4eFhu91555225zZu3IiUlBTEx8djw4YNkA3yfqlqbBeDC2ePVP+ioUXhRXJmYOg9oWVhuIzkIqrzgZYaRf+SMBuy61/oPTdi6Ge0MpIW7EnGzORQ+Jg9UdPUjpNVPGTV5eUjD/fWv9g1gGlvb8fVV1+NOXPmYP/+/Th69Chee+21C/5MS0sLCgoKUFVVhbq6OnF77rnnbMHQLbfcgoceeghbtmzBww8/jPz8fMiEloqdlRQKX68R6l80khcCHp6KwVhDBWTe+e1kDwrX4Ab6F+1aHHEnYF9SLpJ6M+FjNglTO4LLSC6+FiXNhLosgNm8eTMsFgvWrl2LjIwMPP7441i/fv0FfyYrK0tkYKKiohAaGipufn5+4rmXX34ZK1euFBmZ6dOn495778Ubb7wBmbC1T4+m5t5XBxM7XWodjKYPIpv35vYuVx+O+yG5aJC0VVnFY9C/nFvOLTsgrw5GE9XzlHjnQ++p0v3KY63rzc2xWwCTnZ2NhQsXwt9fmaRMgQllYS7E3r17UVpaagtg7r77bpHJ0V7v4osvtn3v/PnzceDAgQFfh36moaGh381Y+pcxLJr9ykhy6mASQv2QGOYnBu2xDsbJuIH+hd5Tnd09QmtFmqtRE5amDFm1dvYajUkawHxTeBZWHrLqXEggTu+t4ETlvcbYL4ChoCEtrfekUh3ZZDKJstBgUEloyZIl2LFjhygTbd26FevWrRvw9YKDg1FeXj7g6zzxxBMICQmx3ZKSknT/py2obha1ZKopUwv1mJA8dU3MT1NS13sLlawV4yTcQf9yqsZWPhqV/kWDflabi3R6F2QkMyEEAd4m1Ld04lhlo6sPx33LR6x/sW8AYzab4ePTvz7u6+srdC6D8cILLwhx7sSJE7FgwQKhcyHh7kCvd6HXeuCBB0T5SruVlJRA72g1ZBLvjlr/opGyiFZP4OwJoPEMZGRhmrLz21PIVuZOxQ30L1opd1RWBoOVkSQt59KQ1TmqDoZGfDAusDLg8pH9A5jw8HBUV1f3+7fGxkZ4e3sP+zWio6NRVlY24Otd6LUo0KEMTd+bUfxfxlRz1/ALA2KnKY9P75A6A5NdYkFbJ/vBOA3J9S/0XtLGVCxQ32NjIkUts1EJqUsph8uGdp44G+pE2puA8oNSX4suDWCofXr37t22rwsLC4U2hQKRwVi0aFG/bAn9PLVND/R6JPhNSEiADJD+Zc8pO+lfzl04JS0jpUT4IybYR/jBHCrhuUhOwU38X0j/Qu+t5PAx6F80aDZNQJQyq4bEvBKidSLtKazluUjOgszrrF1ASBIQpnxGMnYMYJYtWyZ0K6+++qr4mrqQVq1aJXQw9fX16O4+f9c8depU3HXXXdizZw9ef/11PPPMM0LIS9xwww14++23kZOTg6amJjz77LO47LLLpPibKfqXDuH/MiNJGVM/ZrQPGEk9KEibMF8rI6kpf8bBuIH+Rcsi0HtrTPqXgXQwkm4mMhNDxNpFGj7ysmKcgKap0t5bjP01MNT6TO3OkZGR2LRpE5588knxHBnbUSByLk8//bQo/1C79COPPIKnnnoKt912m3huxowZuO+++zB37lyReaFA6J577oEMaLVjEu+St4Jd0N7YNflAU/9SnnRC3iLWwTgFN9C/aNfi/NRRGkleKBsqqQ6GNHta4wHrYJzEabUawQFMP8ywI2vWrBHGdNTuTC3VERHKjnkwR15qnX7//fcHfb3f/e53wsyOdDHLly8fkZ5Gz+xTd312qblr+IcD0VOBqiOKDmbqdZCNher5orbXji6r2AUyDqRY7kWzs894Ci27Zxc0Ia+wfe8ETF6QDVq7KHtFZaSb5iW7+nDkhrRUZar/S7Kc1+JosfsnQGxsLFavXm0LXsbKlClTcOmll0oTvBB71V2fVku2G7Yykpw7v3HRgQgP8EZbpxU5ZRZXH47c0KZD2/UlU5ebfBwpb0BrZzdC/LwwPnoU848GI2qyIqzvbAbKD0FG2NbAidB7iDRV/pGKxoqxwVtYJ1NhaUVpXSs8PYDZKXZMW7tBC6fQwahBH3dAOJj600BjOeBpBhLnQUb2qi35tJHwpAvSXnh69nozSdoVSPYPJk8PsZaV1be6+nDkpnhXn7ExPP+oLxzAOBntg3dqfAgCfexawevdKVflAa11ku/8WAfjUIrVicpxMwFvO3Tn6PhatGspV0NyQ7sAHzOmJYT0K4kzDoIFvIPCAYyT2eeo8hERGA2E04j1HqBkn9QBzP6iOjFagHHwokm7PgkhG/x9RUqQP88hAcxFvYGgVU7fIk34TDoYxkHQe6d4j9RatLHAAYyT2VeoiQbtXD46NwujpR0lY3JcMIJ8zWhs70Jehf5nXhkWyQW8x6saYWnthL+3CVPjHWB8SQNWvYOA9gbgzBHIiCZ85myoA6k6CrRbAO9AIEYd2svY4ADGidS3dCD/jDI/ZK4jMjB9d8xaCUAyqO6uZa80N2PGzjTXADXHpRbwamUP0nJ4mRywDHqalPZzia/FeWoGRpvrxjgATUhP7yWTnSUHEsABjBOhsgeRHhWAyEAH+WpoO2ZyAe1sg4xoAQxPpnYQ2gdu1CSlPV9CtLKHVpJ06GaiRM4AJtTfG5Nig8Rj1sE4WsArZyZ0rHAA4xLTLAcumuHpipV5dwdQIWcL51x157f/dB1bmTuyfCSp/oV8qWzXojMCGNpFD+KFJY+5JOtgHGNlwA68F4IDGBn8X/pCbXa2hVNOHcz0hBB4mzxR3diO4trBp50zYxXwyrnro/fMmYZ2eJk8bI6yDiFhjtKGTu3olt6ZbzKhrWXsyOsAak8BTWcAk7fyXmLOgwMYJ9Ha0Y2cUovjd339hLzfSGtlPj0xpF9ZjrETHc1ARbbyOGWR1O3TmYmh4r3kMLwDgLgZUl+LWjY0r6IRze1drj4cOTOh8bMBL19XH40u4QDGSWSV1KHL2oO4EF8khvk5J4Ch2rvVChmZq5oA7j/NqWu7UroP6OkGghOBUDkt4jXtlPbh65zNhPphJBlxIX5ICPUTlgY8Jd5R84/k3EjYAw5gnNw+TSlXu0y9vRCxmYBXANBmAaqPQUa0Li7OwNiZ03LrXzTtFDE3xQkC5aQFyr3m5SEhc9TNBJeRHKVFk7OUaw84gHESWqZAaz10KNRulzhXaj8YbdE8UdUk2tMZe/u/yLnro/fKyaqmfu8hh6IFguTnIak7tpbJ4q5AO9JUDdQWKI+T5BzlYQ84gHEClF7NKq4Xj+c4Y9fnBjoYGuqYERUgHvPCaSdocjKVkCTe9WnvFbIyoPeQw3EDd2wtEKQ1jt2x7UTJnv6DQZkB4QDGCeRXNqKpvUvMPpqo+iY4nBS5A5i+JQDNEp4ZI5U5QGcL4BuieMBISG/5yIkfCpLrYCbFBou1jda4Y5Xsjm3XACZZLUEyA8IBjBM4UKwsmrOSQ4WTrFNImAt4mJT2zfoSyVPXLOS1CyV7lfvE+cpEZQk5UORE/YsbuWPT2kZwNtTOAYymoWIGRM5VSmccUP1fnFJz1/AJBOIypV44NSFvdqkF7V1yDsxzKpLv+jq6rMguVUq5s52agVEDmPKDQJeclvva2saiejtADurlWcpjDmAuCAcwTszAODWAIZLUhbNU3VlLRmqEPyICvMUHU26Z4rHDjAHJd31HyinQtSLM38umn3IKEeMA/wigq63XY0cytIwWZ2DsAL1HyEmdHNXJWZ0ZFA5gHExVQxtKaltBlSOHun4OhDZMTvtgkgxqR9fKSKyDGSOWUqChTCk7knGWhGgfrrSRcLiVwXnu2HLrYGYmh4o1rqy+FRWWVlcfjrHRZmfRRsKZ71MDwgGMkxbNibHBCPL1glPRdtKVuUC70joq686PU9djRAtyY6cp5UcJ0d4jTusEdCM/GBLxTo4LFo/5WrSTFk3STKg94QBGxq4HjZAExVGVnFWp/i65kJeG9DGjRPtg1cqOkkHvDdu16AwvpnPRPoyonCvp+1Rb47iMNAbovaFpFjmAGRIOYByMtmg6Xf/iJmWkqfEh8DF7oq6lE6dqml19OBLoX9T3i4QDHGua2sUQUBoG6nRoJhIN5WuuBuoKISNzNHds7goc2wDHlhrA5APEz7Tb30ZWOIBxIG2d3TiiiktdF8As6J+WlAxvsydmJHIL55gHOJIHjMS7Pq2sMS0h2LEDHAeDhvHFzZT6WtQyMEfLG4QnDDOGjUT8LMDsw6dwCDiAcSDZJfVigGN0kI/jBzgOmYHZK+1gx1kpSgCTpXZ7MSOk7KA6wDEBCE2S8vT1lo9coH8Z6FqUkPhQZbCjtQc4pDqPMyPEVj6SMxNqbziAcUL7NNXcndr10JfY6YDZD2irB86egIzMTubau326HuRdNDWzQ5dlQt0ggOnrr3OQNxNj9GKSU4tmbziAcYLrp/YB6xJMXkDCbKl1MNr5pcGODW2drj4c4yF514OltRPHzzhxgONgkMMxUXUEaG+EjMxWHXk5gBkFNOyz+pjU16K94QDGgV0PvRkYF6at3UDIGxXkg+RwfyHg59T1CKGyoi2AkTMDc6hEKWfQeyQy0IW6guA4ICQZ6LECZQcg82aCBjtaqZbEDB9t2CcN/wyI5DM3DDiAcRAF1c2ob+mEr5cnpsYr/gguQ3Ihb9+dNbdwjpCa40p5kcqMseroCck4qOpftOyAS5G8jEReMNQVSFkv7gocIZI7YTsCDmAchJZCzUwIhZfJxadZS13Th1WLnIMPOXU9xkUzYY5SbpT4WnTq/CM3zYb27QrkMtIIKVUzMEnz7P53kRUOYByE1hGjdci4lIAIZR5L34tEMrQPJyohcep6BEhePqL3glZCcqkWTUM7z3Qdclcgo2Ht7i0rahtOZkg4gHEQVAPWzaLpBmWkiTFB8Pc2obG9S4h5mWFSKncAc7K6CY1tXfDzMmFSbJCrDweImQZ4+QNtFiUjKiHcFTgKqvKAjibAOwiInmz/P4qk2C2Ayc3Nxbx58xAWFob7779/WLbujz76KMLDw+Hj44PrrrsOjY29yvzMzEzReqzd7rzzThiFxrZO5J9R/i+z9FB3d4PUtdnkaRuWyTqYYULlRO1DNHGe1PqXzMQQ8R5xOVSm04ZlSnotclfgGDYS1DHq6QKjRYNilyu6vb0dV199NebMmYP9+/fj6NGjeO211y74M2+++aa4ffLJJzhy5Ajy8vLw+9//XjzX0tKCgoICVFVVoa6uTtyee+45GIXsEovoiCHzuuggX+gqA0Npyu4uqRdOrr2PwMCOCE+XtutBV/qX88pIe6XtCkwK9+OuwNF0IEmaCdV1ALN582ZYLBasXbsWGRkZePzxx7F+/foL/kxJSQlef/11zJ8/H+PGjcNNN92ErKws8RzdUwYmKioKoaGh4ubn5yIn27EsmnopHxGREwGfYKCzRfGhkLgTiQOYYaJ9gEqafSEO6q2U6wblXGIObyZGhhtci7oNYLKzs7Fw4UL4+/uLryn4oCzMhfjVr36FRYsW2b7Oz8/H+PHjxeO9e/eitLTUFsDcfffdIsszGPRcQ0NDv5seBLy6aNvU8PRUOk0kFvJq5bpT1c2oa+5w9eHoH+19IOmiaWnpxElVD6WbUm7f8y1zV6BtM8EjBYaE3gNnT0p9Leo6gKGAIS0tzfY1aVZMJpMo/QyH48eP4/3338ePfvQjWzCzZMkS7NixA1u2bMHWrVuxbt26QX/+iSeeQEhIiO2WlOS6eS6k/clSux5m6WnX1/fiKN0PGQn190ZGVIB4nFXCc5EuCHXAlB6QetHU3gMpES42sBuoK5DMyiS+FnsN7eq4K3AotPcAdYr6u9j01B0DGLPZLIS4ffH19RValqGwWq244447hEh36tSp4t9eeOEFbNiwARMnTsSCBQvw8MMPY+PGjYO+xgMPPCBKWNqNylOugsybyMCOzJzI1ElXSG6iRXAHxDCh3X+7RemIoc4YCdFl+WigdmoJoY4v6vyiDrCCau4KHF75iPUvLglgqJOourq6379RR5G3t/eQP/ub3/wGtbW1eOqppwb9nujoaJSVlQ36PAVPwcHB/W566HogUyddoZWQagvkT12f5tT1sBZN6ogxmSEjuizlaiTOlTqAoY4vWgMJ1qQN14tJzkyoI7HLJyy1T+/evdv2dWFhodClUGBzIT788EMh/H333Xdt+hmCtDF9syj02ikpKTACut71UXrSZmgnd+r6cGk9unkWyzD0L+oHqYwGdsU6LeX2LdtRV6CkhnY2UT1vJoZpYMcBjEsCmGXLlgkdzKuvviq+pi6kVatWCR1MfX09uru7z/sZapu++eabRXs0aVaamppsJScqJd11113Ys2eP6FR65plnhJDXUA68etz19U1TStrCOS46EIE+ZjR3dONElZwTf+2C5G2bZGZIpoZkbqgLA7tziZ6qlO/aG6Q3tOMMzHAM7AKB6CnO+tNIg900MC+//DLuvfdeREZGYtOmTXjyySfFc2Rsl5OTc97PvPTSS2hubsZtt92GoKAgcZsyRfkDPv3006IstHLlSjzyyCOivETfp3ea2rtwXDWw02UGxg1S1yZPD8xICunnhsycA7nAVh+Tetdnm0WmFwO7c6GynWZoJ+m1qG3iKJik4Y7MAGh/ezawGxV2u7LXrFkjzOcoY0LZFS0Yoa6cmTNnnvf91FVEz/W9FRUVieeodZq6kigjQ/9mlOxLdkk9qGqREOqH6GCdGNgNKh6k1PX5mTEZmJXU2wHBDIBIWfcAoSlAYLTk+hedbiT6bSbkzIZGBPqIDjCtpMtcqJQrZybU0dh1axIbG4vVq1cjIiIC7ogm4NWV6+e5RE0GvAKAjkagOh8y7/w4AzMImv5J0uyLLmeRuaGtATFLHe/B16J7DlN1NDrMrRoXm/+LetHqEkpdU7pS4tS1NhOJU9fuuWhSuUIb6DlTr1q0vgEM6SDaXGu+6Si0a5GzoYMZ2J1QHifIKaZ3NBzA2NPATu8C3vN2fpy6djtoSJfkDrxauYLm8ejKwO5cgmKA0GSlnFeuzqWSDK0DjDZ3wxnw656zyDIUc0NmxHAAYydOn21BXUun8H6ZGq+ISHULp67dF7Isb6sHzL7SGtjZ2qdVLZQxrkU5s6Fk5klrIpl7Fp0d2tjUrZDcysAZcABjJw6p5aOp8coFa4hFkzpRWuvl3vmxkHfgRTNuJmAe2mjSiPSO8tB5JtQNNhO0Fk5PUDZ0h3i8R3/K5NeiORqdf9IaB1v5yAi7vsAoICxVeayZKMkq5OXU9SAC3rnSl3I1/YVhMjCSllhYyDvYLDK5r0VnwAGMnXd9uhYNulHqelJssJhHRanrwppmVx+OfpBc/2Ir5Zo8MSVeZ7PIBiJ2OmDyBlrOArWnIHc2VM5s76igcS6Sl3KdAQcwdqCtsxtHyxv034HkpqlrXjhVOlqAM0ek3vXZSrkJFMCaoHvMPko5T+JrUdvU5VU0oLVDTu+pEaP9relvb/Jy9dEYFg5g7MCRcgu6rD2i4yExzA+GQGvbozqsrKlrWxmJDe0EFYeAnm4gKA4IToCMGKqU6ybZ0PgQX0QH+Yg1Mrfc4urD0Qcs4LULHMDYAW2HTzV3Dw8PGAKRuvYBWus4de12tuVzAKO8T2Uv5bqBIy+tib3mkryZEHAAYxc4gHG3rgcN6kCJy5Q6da39PY5VNqKlo8vVh+N6JHfgNWQpt28AQ+W9zlbICOtgBivlynktOgsOYOzqO2GgRbPvxaO180lGXIgfYoN90W3tQU4pp65lD2AMWcolQpKAwBjA2gVUZENGtLVR0yi5NW5QynUWHMCMkaqGNpTVt4qMfKbRAhgqJUhce+/bSuv2C6elDGgsBzxMQPz5w1VlKuVS5s0wpVyCjlXTpEmaDZ2eGCImxVdY2lBhkTPLNKrykZHepzqEAxg7lY8mxgQh0McMQ6HtxCtzgc42yIimhXD7TiQtyxYzBfAOgOxaNMORKPdmwt/bLNbIvhlrt0ULUnn+0ZjhAMadF02awxIQBVg7gcrDkBFOXbvPommYWWQXLOfKaSx5rrmkWyN5KdeZcAAzRjR7bEMumv1S1/ukTl1XNrSh0iJnlmlYSL5onmloQ7mlDZ5Uyk004LUYP4suSMBSAjSegdTlXHfOwLhBKdeZcAAzBrq6rTisikNnGsl3YsAWzv3Spq4naKlrd/WD6e4CyrOkNrDTMqETjFjKJXyCgOjJUovqtU3e4bJ6dHZb4Za4QSnXmXAAMwaOn2lCS0e3WDDHRQfCkEgewPTd+bmtDqbqCNDVCviEABHjISOaSNuQpdzzRPVyXovpkYEI8jWjrdOK/MpGuCWSj/JwNhzA2GHRzFTLFIYkfraaui4Gmqog9TA5d6292/QvswFPOS95Lbtm6ABGckdeT08P7gosPSC9Fs2ZyLmaOQlDiwY1fIOBqElS7/y0vw95wVDZz+2QXP9CPj9aKVczTDN0NpTKfVY5Zwa5ta1Bd6f0pVxnwwGMXdLWBl40+5WR5Nz5ZUQFIsjHjNbOblH2c9u6u6SL5vEz5LTcjQBvk3FLuQRtJLwDgY4moDofMuLWAUzVUelLuc6GA5hR0tjWiZPVTcZPW/f9YJNUPEip68wkdTK1uwl5adZVzXGp09a9pdxQ45ZyCU+T2o0k77WorZUnq5pgae2Ee5ZyZ0lbynU2fBZHCaWsaYhzQqgfooJ8YGhsk6ndIHXtbkLesoPKfVgaEBABGdH+poYa4Oim2dCIQB8khStjHg6Xutu1yPoXe8MBzFjLRzIsmtS+KVLXjRKnrsPcM3WtLZqSlo+k6UDSsPkyyWtoZ7sW3W0zYdOiyXstOhsOYMY6d0WGRdOdUtfVTWhoc6PUteQOvE3tXThe1SjPtah9uFXnAe1y6rXcUgfTZpG+lOsKOIAZBT09PXLt+tzAg4LKfDShmMp+h0vcZDI1/WclF/BSGUIr5UYH+8LwBMUq06l7rL0dKxIHMLSWuk8ptwcITQECo1x9NNLAAcwooOnTNU3tMHt6YFqCIg41PDYhr8ypa23hdBMhb10R0HIWMHkDsdMhI9JtJNxgSvzU+GB4mTxwtrkDpXVuMpla8o2Eq+AAZgyL5qS4IPh6mSAFWlqTWv04dS0HWjBKwYvZ4ELzoQS8MgUwkm8maM2cEhfsXuaSbGDnEDiAGQVSLprBcUBwgpK6rjgEmQ3t3CZ1Lbn+pV8pVwYx/XlC3v1KGVDq8R5ukA11g1Kuq+AAZhRoi+YsoxvYuZkOZmp8iCj71TS5Sepa8kWzwtKGqsZ24f0yLV6SUi4RN0OZVtxUCTSUQUa0gNMthLz1xUBzNeDpBcRmuvpopIIDmBFCU1Rzyizy7frcwNCOUteT1dS19AtnVwdQcbh/YCprKTc2CH7ekpRyCW9/IGaq1JsJrZX6SHkDOrokH++hraex0wAvCYTmOsKuAUxubi7mzZuHsLAw3H///cNK02/cuBEpKSmIj4/Hhg0b+j335z//GTExMUhPT8e2bdugB2iKanuXFcG+ZqRFSDYO3S08KNxk53cmB+huB/zCgfB0yIhWfpCqlOsmm4nUCH+E+nuJ4CWvogFSw/oX/Qcw7e3tuPrqqzFnzhzs378fR48exWuvvTZkwHPLLbfgoYcewpYtW/Dwww8jP18xUqOvf/GLX+Cll17C3/72N9x55504e/YsXI0mOpuRFCos6qUifqaSum4sBxrKISNuE8DYFs05gIdk71OZO5DOK+fKuZnw8PDAjEQ3uRYlL+VKEcBs3rwZFosFa9euRUZGBh5//HGsX7/+gj/z8ssvY+XKlSI4mT59Ou6991688cYb4rm//OUvuO2223DNNddg8eLF4v7999+HXgS8UphmnYt3ABA9RerUtSbkzS2ziHKgtEi+aPYt5Rp6AvVQ2VAS1Hd3QUbcYjNBE6grsqUW00sRwGRnZ2PhwoXw9/cXX2dmZooszFA/c/HFF9u+nj9/Pg4cODDkcwNlfxoaGvrdHIXmISKd/kUjcY7Uqeu0yACE+HmJMuCxCsXBVUok70CiUm5bpxVBvmakR0pWyiUiJwA+wUBni2JtICFuIeQ9kwt0tQG+oUBEhquPRjrsFsBQ0JCWltYvRWgymVBXVzfsnwkODkZ5efmQz53LE088gZCQENstKSkJjoCmpxZUN4vHWvpTOiTXwYjUteyGdi21QG2B8jhhNmQvH0lXyiVoWrHs4z3UNbSwphn1LR2QeyMhbylXigDGbDbDx6e/WZavry9aWlqG/TN9v/9Cz53LAw88IMpX2q2kpASOgN5/D181BT9YnCqmqkqJVnIol38ytbQmWtoE6vAMwD8cMiK1/uW8ydRybibCAryFmFfqLIwbDFN1JWZ7vVB4eLgQ5falsbER3t7eF/yZ6urqAb//Qs+dCwU65wZPjiDY1wt3LOnNCkkJpa7FZOomoCpPaf2TDE2/JO+iKbf+xW0CGC0bKmkGRvv7FZ1tEX/PFROjIR2Sl3KlycBQ+/Tu3bttXxcWFgptCgUiw/2ZrKwsJCQkDPkc40DcYDK1VkI6Vd0MS4uEk6klXzRpmnhBdZP8AYxtMnU+0CZnq7HUQt7WOuDsCam9mKQJYJYtWyZ0K6+++qr4mrqQVq1aJXQw9fX16O4+vxxxww034O2330ZOTg6amprw7LPP4rLLLhPP3XjjjXj++edRVlaGM2fOiI4m7TnGWalrOQOY8ABvpKip6+zSeglty7W0tZyLJk0Tp/9mUrifvKVcIjAaCElWphiXq2VByZipdpBlyzjeQ7sOw9KAgAhXH42U2FUDQ23R1AodGRmJTZs24cknnxTPkbEdBSnnMmPGDNx3332YO3euyK5QsHPPPfeI58hT5pJLLsH48eOFmHfWrFm4/vrr7XW4zHBnsUiKtDu/2lNAay1g8gFiZJ1ArRnYSdg+fS5aECrptTg5LgjeJk/UtXTi9NnB9ZKGRNMuSVzKlcqJd82aNSgoKMDrr7+OvLw8TJmieIpQZD1z5swBf+Z3v/udKA+RI++uXbvg5+dn6xYhT5jt27fj448/xgcffCD+jXFm6voYp66NuuuLywTMg+vPjIxb6F/O08HIKeT1MZswJV7S8R5lcpdypZyFFBsbi9WrVyMiYvgpMwp0Lr300gFFuqSFWbFiBQcvziQoFghJUlPXWZA9AyNV6tqdJlAnSTTAcTjlXJnep7JnQ+lvpV2LnIFxGDzMkRkYTXQmqZCXdn2Uuq5t7kBJrUSTqUv3Sb1o0hRxmiZOU8Vpurj00GRqTzPQXAVYHGMPoRd3bKlsDeoK1VKuNxArZylXD3AAw7ilBwWlrierqessWQztOtuAyhypAxhtl05TxWm6uPR4+QEx06TWwcxStUx55Q1o75LEe0pbNyl4MUssNHcxHMAwQ3tQSJq6ls4PhoIXayfgHwmEpkBG3Er/4iZdgdRNRp2BHd1WHC2XpF28TP5S7rqtx7E5pwJtna4LOjmAYS6cum46A1hKpTxL0tXe+xrYSSp4d8sARnJDO2rOkO5alFz/Um5pw58+P4GfbMhy6f6WAxhmYLz9gZipUi+c2qJ5RJbUteQCXppATVPEpR6mOhDahyBNNabpxhIiVQDT1Q5UHpbawO5QsfJ3mhQXBD9v15VyOYBh3NYPhszswvy90NFlRZ4Mk6ltGRg5F02aHk5TxIN9zUiLkHAC9WDQTCuaZkxTjWm6sYRIFcBU5gLdHYBfOBCeDrm9mEJdehwcwDBuW3vvl7ouNriQt7kGqCtSHsfLOoG6zjYKQsoJ1BeaTK3t5EvlHu9BZnbUGSiH/kXeCdRZagZGE2C7Cg5gmKEzMBWHJE5dh8mx89OMzmgYp1+o3Iumaj/vVki+mQjx80JGVEC/QNWwSK5/6ey2IkcnpVwOYJjBiRgH+IaoqesjUp4paTwobP4v8yArWpCp/c3cCsmFvP02E2qgavhrUVIt2jEdlXI5gGGGl7qWdOGUJnVtE/DKqX+pb+nAqZpm8XhmohsGMNpu/uxJZcqxhMyUYTPRfFYxsSMS5C7lzkwOc3kplwMYZphC3gPSpq7T1dQ1TcQ1JFYrUHZQ6rS1ln1JiwxAWICcM54uiH8fQaikc5H6+jJZrQb1ntI2ehHjlb+ZhGTpyMqAAxjmwmgfiJJmYPpeiFlGFfLSrrzdApj9gGhlgKqs+hc9LJouQ/KuwEmxQfD18kRjW5ct22Y4JNe/9C3x6aGUywEMc2G0kkTNcWlT15oo1LCpa63mHj8LMHlBRtxa/+ImQl6zyROZCQbfTEg+i8zS0qmrUi4HMMyFCYgEwtKUx1qZQtLUdbZRU9d9HXiln0Dt+kXT9dnQA9KO99B0MIbsCuxXypVTTH+oVPm7pJKHlg5KuRzAMCNbOCVkYmwQfMyeaGjrQuFZA6auJd/1FdY0w9LaKf5Gk2KVAZxuScx0wOSjTDmuPQW5y7kGDGDOnuhTylVdzCUjS82M6cXKgAMYZmi03YT2QSkZXiZPTE8IMebC2dHc2+Iu6a5P+5tMSwiBt9mNlyyzNxCXKfVmQisR5p9pRGuHwcZ7aKU9Uco1Q0YO6SwT6sarATPy2vs+aVPX2sJpOBOt8kNAjxUITgCC4yG1/kUni6ZLkXwzERfih5hgH3Rbe2xmacbLhMppZdCjw1IuBzDMCFLXdRKnrg3qyGszzZJz0SRsi6Y7C3g1JB8p0Nee3nBCXpsWTc5MaNHZFtS3dIos6OQ4fZRyOYBhhpm6niH1wql9ONJQR0OlriV34G3r7EZeRYOu6u4uRfs707TjzlbIiCGFvG5Qyj2kZqenxQfrppSrj6Ng9I/kqev4EF9EBymp69xyg6SuqZxn852Qc9HMLbOgy9qDqCAf8Tdye0KTgcAYwNoFVByW8nQYUshbnqWUcoPipS3lZulwFhkHMMzIdTCSTqbWdDAHTxskdd1QBjRVAh6m3gyZtFNvQ8XfyO2hcyD5ZiIzMQTkUF/Z0IZKSxsMgTsY2JXoS/9CcADDDA9t0TyTC3S0SHnWZmuGdkbZ+WkfYLHTAG9/yAjrX9xvM+HvbcZEtV3eMDoYya0M2jq7cbRcK+VyAMMYjZBEIDBWTV1nQ0a01OjB4jqhuNc9kpeP+vlOqMJOpm85V049muGmxLtBKTdHLeVSmT0h1A96gTMwzAhS13Lv/MgLxuTpgarGdlQYIXVtm0At567vTEMbyi1topwwPVHx6WFUnxEPT6ChFGgolzwbWmewUu5MyG1gF6qrUi4HMMzwkTyA8fM2YXJckC0Lo2u6OoCKQ1Lv+rRFk8oJgT5yGoONCu8AIGaq1NeiloE5XGpBR5cVhthI0N9E0lLuwdP6E/ASHMAww0f7oJTUBbS/B4XOU9ekRepqA3xDgYgMyMhBHU291R2SC3nTIgIQ4ueF9i4rjlUq2gvdIrn+paenx7ah05uZJAcwzChS12WApUzKMzc7xSDTcPt2PegopWtPtG4wrZzAuI8OxtPTQF2BtgBmPmSkwtImyupUXs/UwQTqvnAAw4wuda25Tkqagcktb0B7l44N7SR3/aSygWYlzxmYAdD+7uQ/0t0JqbOhehbyUimXxnkQSXIGMFlqJpTK61Rm1xMcwDAjQ/LUdQqNiff3Eh+gWtugLinZK3Xamtx3qXxAZYT0yABXH47+CM9QyodURqRyosTZUF3r0cgRubsd8I8AwtMhIwd13AnIAQwzMiRPXSuGdjrXwTRVA3WFUncg6bXrQTd4evYR1ct5Lc4Q5oVASW0rqhvboftRHpK+T7P6XItSBjC5ubmYN28ewsLCcP/99w/bQ+PRRx9FeHg4fHx8cN1116GxsdH2XGZmpli4tNudd95pj0NlxoobpK5n692DQls0oyYBfvpbVOwp4GX9i/tmQ4N9vTA+OlDfmjTJM6HtXd2inK7Xa3HMAUx7ezuuvvpqzJkzB/v378fRo0fx2muvDflzb775prh98sknOHLkCPLy8vD73/9ePNfS0oKCggJUVVWhrq5O3J577rmxHipj79R1ZY6U57Q3A6PTRbN0r9T6FyJLHRynx0VTN0gewBhCByO5gJfK6FROp7I6ldelC2A2b94Mi8WCtWvXIiMjA48//jjWr18/5M+VlJTg9ddfx/z58zFu3DjcdNNNyMrKEs/RPWVgoqKiEBoaKm5+fvpx/3NrROp6Xv/dh4SzWCgbXFrXiqpGHRraleyTWjRI5QIqG9DfYEYSG9gNSsIc5b72FNB8FlI78upxM9FQAVhKlM7MhNmQfYCjhw5LZGMOYLKzs7Fw4UL4+yvRGQUelIUZil/96ldYtGiR7ev8/HyMHz9ePN67dy9KS0ttAczdd98tMj2DQc81NDT0uzEORPvg1DIBkhHk64UJ0UH61MF0dwHlB6Xe9WkfVvQ3oL8FMwhUPoycKHUWZnaKkoHJLrGgq1tnhnbaOY+eAvgo64VsZKmZL735v4w4gLn22mtt2ZC+t2effRZpaWm276MozWQyibLPcDl+/Djef/99/OhHP7IFM0uWLMGOHTuwZcsWbN26FevWrRv055944gmEhITYbklJScP+3cwYAhgtEyD1zk9nAQx1nHS2AL4hQOQEyAgb2I2ApHlSbybGRQUiyMeM1s5u5J/p1UjqAnco5RbX9QskDRvAvPjiizh06NB5t1tvvVWIcPvi6+srdCzDwWq14o477hAi3alTFY+RF154ARs2bMDEiROxYMECPPzww9i4ceOgr/HAAw+IMpZ2o/IU4+DUNaVNLcVAY6WUp1rTXujOREvb9VH3EZXzZF40Wf8yNFoWTtJyLhnazdQM7fS2mdC6vyQt5VY1tokyOlWOqKyuR4Y9YCQmJmbAf4+NjRVdSH2hbiJvb+9hve5vfvMb1NbW4qmnnhr0e6Kjo1FWNrjzKwVQ5wZRjAOhdCmlTSkbQAvnlDXSelAcLqtHZ7cVXiZPnXU9yLnrozIBzb/Ra9um7kha0Dveg8qLJvlmRlH54usTNSKw/f7CFOjHwC5L6msxSw0Y9VzKHfOqTO3Tu3fvtn1dWFgoNCnUHj0UH374oRD/vvvuuzYNDUHamL5ZFHr9lBSdvHEZBZuQd4+UZyQ9MlCYqLV1WoWpmu7S1lrpQDKOVTaKckGQrxkZUUoLLXMBqIxI5UQqK0pqaDdLLV/oqpx7JkfpxPQLAyLGQepRHin63UiMOYBZtmyZEM2++uqr4mvqQlq1apXQwRD19fXo7j7fkp3apm+++WbRHk2alaamJlvZiUpJd911F/bs2SM6lZ555hkh5GX0KOTdJ23qWvODOaCXMpIwsCtyCwO7mUmh4m/AjKArUNJrUROQFtY0o7a5A7qgRH4DuwMGmEU25gDGbDbj5Zdfxr333ovIyEhs2rQJTz75pO15MrfLyTnfL+Sll15Cc3MzbrvtNgQFBYnblClTxHNPP/20KAmtXLkSjzzyiCgv0fcxOkxd0xwQSqdKiHbh6iaAYQM75oI6GDmzoaH+3siICtCXJk1y/5eOLisOq7PI5uhUwEvYpWC6Zs0aYTx34MAB0VIdERFhe24wV17qKhqss4i6m6gridExNPeD5n+0nFXmgUjoRDlHb6lrN+h60IJFPS+aukMrJ0oq5CXmpoSjoLoZB4rrsGrKwHpM11yL8q17xJFyi83ALk3Hs8jspkwkMe/q1av7BS+MxFDaVHJDO5rFQlWMsvpWVFhaXX040hvYUddDcW2LeGtpnSfMMBDlRA+g/jTQeEbKU6YFtLrIhtI5ri9WzrlmJijxRsJDxyUynbRWMIZEciFvgI8Zk+OCxeODp12chXEDAzvtHE+MCRJzcJhh4husdAVK7AfTa2indAW6FG29i5mqnHuJJ1DP1nkmlAMYZuw6GEnFg7rSwbiFgZ0xFk19m0vKuZlIjwxAqL8X2rusYj6PS9HOsbb+SUZPT09vBkbHAl6CAxhm9ND8Dw8T0FAGWAb36ZEhda19uLoMrUwnsYGdURZNXSK5O7bSFaiTzYTkAUxZfSvONLTD7OmBzER9l3LlXAkZ5+AdoKRRJU5dawEMidraOs+3A3AaJd8o98kLISN0bnNUA7u5qRzAjL4rMEvarkCbDsaVm4nOVqXzkkiWM4A5oAaIU+KD4eet2KHoFQ5gGDvt/OQMYBLD/BAZ6IPO7h7kqG2FLqFY7l2f6HrotiIy0BvJ4b2mlswIuwK725WuQAnRxXgPCl6snUBgDBCaIreBXbL+NxIcwDBjQ/tAlbT2Tgr8OaoTpcsWTksp0FCqlOskbdvsa5ql564HfXcFyq2DmZEUApOnByosbSivb3VtJpTWPUnfpweKjWNlwAEMMza0kkZFNtAxvAGeRsPlLZzF6qIZO10p20kI+7/YAcn9YPy9zZiidgW67FrUzq2kmdCWji7kVShTvzmAYeQnJAkIigesXcpAOcmFvIMZMzpl0ZRU/6J0PdQbZtE0RDbUFe9T2TcTdE4lF/Bml1jQbe1BXIgv4kP9oHc4A8OMDUqjamI2Lb0qGVPjQ+Bl8kBNU4cwWnNd2lpO/xc6pzVN7eIcT0sIcfXhGJf42YCnGWisUI3W5GO2K7sCzxYozuMmHyBuBmTkoMGsDDiAYcZO0sL+QlPJ8PUy2T5Y9xc5eeFsbwIqc/ufZ8nQdtN0julcM6PE27/3g1VSHUxvV2CDKHc4Fe2ckn2E2RsycsBgVgYcwDBjx5aB2QtYXeyS6SDmpYaL+/3OTl2X7Qd6upVSXUgCZMRoi6auSV6k3BfvhozEh/giNthXlDkOq233LhHwSojV2sMZGMYNiZkOeAUA7RagOg8yMlfd+e0vqnXuL5a8fbpvAMP+L3YgWe5sqNIV6CIdjOQC3oLqJtS3dMLXyxNT440xIoEzMMzYMZl723u1jhnJ0BbNE1V0kXc4P20tqYC3sa0T+WcaDeM7oXu0D9eqo0CrDgYfOvBadOpmoqUWqD4mdQCzTy2Pz0oKg5fJGKGBMY6S0T/aB6yktfeIQB+kRwU4d+dn7e6dMyWpgPdgcb1o7iDDwOhgX1cfjvEJjAbCM6hlRtqxAn3LuVT2cAql+5X7iHFAQARkZL8aEM4zkBM2BzCMfdB2JZJmYIh5KeH9dioOpyoPaG8AvAOBaHVkg6SL5nz1Q4mx52ZCzmtxclwQArxNaGzrsmXvnKd/kTMTSuxVr8W5BroWOYBh7EPiPMDDE6g/DTRUSHlWNY2G01LX2qJJ5Tkq00nI3kJ115dmnEXTODoYOQMYs8nT1ubrtGtRO5eSZkIrLK0orWuFpwcwK1nfAxz7wgEMYx98g3uzBJLu/LTUNXU/OGWwo03AK+eur72rG4dK6g2XtjZMJxIZS0o62HGuM7OhXe29JaSUxZCR/ep5nBwXjCBfLxgFDmAY+yF5B0RKhL8Y7EhDB50y2NE2gVpO0WBuWQPau6wID/BGRlSgqw9HHkinQYMdu9qUER8SogW8+4pqHe+OTRO+aUhmQJRybqXWv4TDSHAAw9gPyWvv1MLZd+F0KJYyxU2VynJUnpMQ7RxSizoPcLSzO7bNXFJOP5iZyaEwq4Mdyxw92PH0rt71TdIBjvvUDAwHMIz7ogl5Kw4DHc2QEU3g5nBHXu2DJzYT8AmCjBh112csc8k90g52nOosd2xN/5IsZ/mooa0TxyobDOnFxBkYxn6EJgHBiYpzrNb+KxlaBuaAo1s4T+9U7lMugozQubPt+ljA61hHXkkHO85Thbxa94xDIGdxLaOcop5TycgqrgctZcnh/ogxmJUBBzCMfdEu8tNypq6nxAXD39sES2snTlY3Oe4XaedP0kWTDAHpHPp5mQzj+mkoaCYSDR2k4YNnT0JGtMDXoZ1IZAjYZlGsDMhxXEL229qnjZV9ITiAYeyLptLXMggStnBqbYYO08EI18+8/jtpydDOHZ1Lo7h+GgqzD5AwR2odjDbe4/gZB7pja+eOdGiyWxmkGq+UyysHY1+0kgeVkCRv4XRY7V1bNCMnAgGRkDmAMeKiaRgkz4Y6xR1bE/BK2j7d0WU1tJUBBzCMfYmc0NvCSe2HEqJ96Go7F8ctmnJmX/oGf/NZ/+KEbOgOyIrm4OwQHQxph7TNhKSZ0Nxyi7AyCPP3MqSVAQcwjH2hNkPJy0hU9jB5eoj2TYe0cNoCGDkFvNp5o3M4M8k4rp+G7Ar0MCnt+PUlkBGHdgXWFQGNFYCnV++wWkn1L3NSwg1pZcABDGN/tA9e7YNYMgJ8zJimtnDuOXXWvi/e3tRrPibprm+fmrmaFh8sziXjIKj9nsS8El+LWgbmcGm9/d2xtexL/CzAyw8ysueUOosszXjlI4IDGMb+aBkY8k+gicoSslAtfWgLgN0o3au0oYckK23pEsL6FyeSepHUZaSkcD9EB/mgs7tHtAPbFclLud3WHlvpbUGaMSdscwDD2J+YaYBPMNDRCFTmSHmGF6SrAUyhnTMwkrdP99UOGWnqrWGRPBtKZY8F6RGOuRZt+hc5Bbx5FQ1ionegj9mwVgYcwDAOeFeZescKSLpw0ocvTW4tOtuCMw1tDrAtlzOAqWlqFx4wxAIW8Doe8T7yULxgGishIwvTHZANbapS/XM8pJ1Ftse2kQgT9hBGxC5HnZubi3nz5iEsLAz333//sIdrZWZmighau91555225zZu3IiUlBTEx8djw4YN9jhMxplILuQN9vXCFHXX8o29dDA09bZsv9QCXi37Mik2CGEB3q4+HPnxCwVip0m9mdDKHweL68SEc7ugnavoKYCfMfUhQ6Hp94xaPrJLANPe3o6rr74ac+bMwf79+3H06FG89tprQ/5cS0sLCgoKUFVVhbq6OnF77rnnbAHRLbfcgoceeghbtmzBww8/jPz8/LEeKuOq1LWkVubaha/tZMYMtZ1T+7l/JBA5HjKiBXsL1bQ/48xrUc7NREZUgJgST+3A2SV2mhJfpGqGUpdA1lEeezX9i5rBcssAZvPmzbBYLFi7di0yMjLw+OOPY/369UP+XFZWlsjAREVFITQ0VNz8/BSl98svv4yVK1eKjMz06dNx77334o033hjroTLOJG4mYPYDWslVVs7gUyuB2K0Tqa9o0IAtjSMLYIy7aBoOt9DBhNs3G1r0tdQBTP6ZRtS3dIqxKNPVjkq3DGCys7OxcOFC+Pv7i68pKKEszFDs3bsXpaWltgDm7rvvFtkc7TUvvvhi2/fOnz8fBw4cGPS16OcaGhr63RgXY/YGkuZJvfMjEzaKMwqqm1HdqLx37bJoSlo+OtvULmzfifkGTlsbtpxLc32a7Sx01QlaRs8uAUxTNVB9TOoAZo96nuakhBl6lMewj/zaa6+1ZUr63p599lmkpaX1i4ZNJpMoCV0IKgktWbIEO3bsEGWirVu3Yt26deI5CkD6vmZwcDDKy8sHfa0nnngCISEhtltSkpztp4ZD8p1fqL83JsYE2ceVl8YuUNs5kboUsutfwln/4jxoHEXUJKnnImm2BnbRwWgbCeqm9JczU7hHvRaNXsoddgDz4osv4tChQ+fdbr31Vvj4+PT7Xl9fX6FxuRAvvPCCEOdOnDgRCxYsEDoXEu4SZrO532sO9XoPPPCAKGNpt5ISOV0nDbvzo3qypDqYhfZq4Sw/CHS2KGMYSDgoIax/cSGSi+rHRQciIsAbbZ1WHC4dow5Gcv1LT09PnwAm3D0CmJiYGKSmpp53i42NRXV1db/vbWxshLf3yDoMoqOjUVZWJh6Hh4f3e82hXo+CHcrS9L0xOkBMcPUBmirVlkSZdTBjzMAU9qm5exo3pXshvlHPEbdPuwDJhbx9dTBj1qTZAhg5M6EnqppQ29wBXy9PTE8w9iiPMa+U1D69e3dvWrKwsFBoUigIuRCLFi3qlymh16C26YFekwS/CQkJYz1UxtmQ/XbSfOVx4XYpz782jJBEcbQojJqir6ReNOnc0DkieICjC9CyCWQs2Wpnx1rd6WDGsJloPAPUUNNBn5luEutfvM3G3iyN+eiXLVsmNCuvvvqq+Jq6kFatWiV0MER9fT26u8+vSU6dOhV33XUX9uzZg9dffx3PPPOMEPISN9xwA95++23k5OSgqalJ6Gwuu+yysR4q4wrSliv3heoHtGREBPpgfHTg2HQw5P9Ssld5nLYMMrJXLbGRZojOGeNkgmKBiHFAj1VaTZpma3DgdB06uqyjexFt5ILE+pdvtPKRBEL6MQcwpFehtmdqdY6MjMSmTZvw5JNP2p4nczsKRM7l6aefFqUfapd+5JFH8NRTT+G2224Tz82YMQP33Xcf5s6dKzIvFAzdc889Yz1UxhWkLe1Ny1pHuajonDG3cJbuU/xfAmOAyAmQEW1XbPSauxybCTmzobSRIHF4a2c3cspGmWVyB/3LKc3/xfgBjF1Gwa5Zs0aY0lGrM7VUR0T0npjBXHmpg+n9998f9DV/97vfCTM70sUsX758xJoaRifEzwa8AoCWs0obp+YKKhGLMyLxt2+KsaugZuz6F+n9X4y/aBoWyu7tXy9tNtTT00PoqzbnVoqAeU5K+OivRW3jJRkF1c1inIeP2RMzkozr/6JhtwIYiXlXr17dL3gZK1OmTMGll17KwYvR/WC0wYSSLpyL0iNE3EEeJ1WNbWMwzZJX/3KskvUvLkcrT9JGgmb9SIgmEB9VNpRmRZ09oc4/knMW2S51k0Xzj3zMiszDyBhbwcMYA+2DWdIAhmb6TIlTOt92F4xw4exsVUpIbqB/mRATyPoXV0KajtjpUl+LizIixf2+otqR+8Fo5aNYefUvO07U2LLGMsABDON4tA9mauHs7pLyjF80TlkQdp4cYRmpZA/Q3QEExQPh6ZCRnSe5fKQbJNfBUJBMc5HID+bg6fpRZkLl3Eh0W3uwW81MLVHXK6PDAQzjeOJmAD4hQHsDUJkt5RlfnBFh+7Ae7jT282rukupftKBOlkXT0EjeFUh+MEvGRYxuM2HTosk5yiOnzILGti4E+5oxzcDzj/rCAQzjhHeZqVfVL+nCSd4mXiYPlNW3orj2wi7U7mSaRefjVE0zTJ4eWKgGeYwLIT2apxmoKwLqTkudDd0xkgCmvhioLQA8PKWdRbZTPR8kpKfrUQY4gGGcg6bq13Y5kuHvbcaspLB+JZMh6WgGyg5I3fWwU625z0gMQbCvl6sPh/EJAhLmSL2Z0AKYw6X1sLR2Du+HTn2p3NO58TO2O+1QAt4l4+XJhHIAwzhXB0PD5GhwoYQs1lLXw22nJkMxaycQmgyEpUJGtF0wl490eC1KGsDEh/ohPTIA1p4RjBUo+EK5T18JGWnr7Ma+ojqpBLwEBzCMc4iaDPhHKgMLtayDZGg7P+pEstLqORQF25T7jIshI3QOtLS1dm4YPQUw26UdsjoiUT0ZbGqi5gw5A5gDqjtxTLAPMqICIAscwDBOeqd59pZJtHStZMxIDIW/t6mf74k7BzB0Ds42d4hzMitZKa8xOiBxPmD2BZpo7s9xwN11MJWHFaNN70BlAK2E7OizkSChsyxwAMM4D+2DWvvglgwajKYNKhzSlddSBlQfU0SDkvq/aLtfMhcz+tA4qfDyBZIWSG8uSTpVcp6tsLRe+JtPqeUjajQwyanT2qUFMBKVjwheVRjnBzBl+4FWpR4rG9oCMWTqWstC0agFvzDpd32MzkhfLnU2NMTfC9MTQ4cnqtfOgaT6F0tLJw6XWaS8FjmAYZxHSCIQOVGZiHtqu9RCXppM3dltddvyEbmgatO5Zep6kAbtw5quw+5hduoYjGH5wZAT9undyuP0FZCR3afImwpC+xIb4guZ4ACGcS7jLpG6jDQ5NlhMxG3u6EZWcf3gokEtbS1pAEMuqDQVmFxRJ8YEufpwmHOJmwn4RwAdjUDJXumzoYOaS1JXZHc7EBQHRE2EjOyUOBPKAQzjOh2MhB0QNBF3mZpx+DK/agjRYBCQOBdyu+9GSCUalEpUn6FuJk5+BhmZnUIDCz1R1diOk1VNQ7dPS/o+/fpEtXTt0xocwDDOhVwuTT6ApQSoocmv8rF8YpS4335cWTjOQ8u+UFeWpKJB1r8YKRv6OWTE18tkE9V/pRoqnoctEyqn/qWophlFZ1tg9vTARWpJTSY4gGGci7e/YmcucRlp6XglgDlS3oCqxja307/Ut3QIF1RZ09bSoL3/KrKBpkGyhQZn+YSowbOhTdVAZY7U+pft6iZqTkoYgiR0wuYAhnFhGUnOnR/pPjITlWFpXx0/Z+fX0QIUfyN1AEO7XfLxo8nA5IrK6JTAaGXQqsSbiRVqNnTPqVq0dHT1f1Izr4uZppwLCflSDdxWTJTz/8cBDON8tNo7DTLsapd653deGYnGB3R3ACHJQHg6ZOTLY8qiuVLSRVMqbDoYOTcTGVGBSAzzQ0e3VThk90PT/kiafWnr7BYdSH0DOdngAIZxPjFTgcAYZayAlo2QDG3BIAFdd9+xArbykZyiQRof8KUatMm665OKcat6s6HUHScZJCDXrsUv+paR6P96YqvyeMJlkJE9hbVo67QiNtgXk2Ll7ATkAIZxPvTBLXkZicYKBPuaUd/SiWxVDyI4uVXq8hEZZtEohUAfM+amymnQJxVJ85VuOOqKqzgEGdEygV/mV/e2U5cfBFpqAJ9gIFnV5ElaPlo+IUraTkAOYBgXp67lrL2bTZ42MS8tnIKzBcrsGU+ztAHMF2r5aOn4SHiZeHnRPdQFp7nySrqZWJQRAW+TJ0rrWlFQrbZTH9/SmwmVtBNwu7ruyFo+IniFYVyDaFv0AM7kAA0V7tFOfeLT3lZy32DIiFY+Yv2LAdupJdXB+HubsSA9vP9mQrsWx8tZPio+24JTNc1K+7TETtgcwDCuISCy18Tt+CdSC3mppZjKKrb/54TLISM1Te229mkteGMMlA0lR942ZWaObGh6LKGDaazsLZdpGiDJ2H68ymbmFyxh+7QGBzCM69A+yPM3S/lXiAn2xeS4YGE4vPtoIVC0U2rR4FfHSWMATI0PFv93xiCEpQAR44GebmnbqVeqATXN52rPU8tH8bOAoBjIyJduUD4iOIBhXMfEK3r9GMgfReIsTNWhTwBrp/JBEZEBGflCXTS5fGRAtKBa0s1EWmQAksP90dndg/rsf0ldPmrr7MYutWV8xQS5OwE5gGFcR/QUIDQZ6GrrHWkv6c4vouxzqbMvXd1WkYEhVk6Se9cnJZNW94pbJZxOTV04dC16oQshFTuUf5zwLcjIvqJaMUg1OsgHk+PkbJ/W4ACGcR3U2jdBzcLkfyzlX4IsvCP8PLG4J0tq/cuhknpYWjsR6u+FmUncPm04khYAfuFAW73E3kzRmOuZD19rC3oCooC4WZCRrUfP2DKhsrZPa3AAw7iWiZf37vwkNNKidurbUusQ6dGANlMgkLwQMrJNbZ9eNj4KJk+5F00p8TT10aTJuZlYmB6Bb5kV8W59/HJlIrdk9PT04NMjSgBz2TQ59T19ke8vyBiLlCWKkVZzFVCuZikk4yrfbHG/AzPRQx4wEu/6Lpksd81daiZdqdwf+4g+CSEbft4mXOFzWDze4TEbMpJTZkFlQxv8vU1YnCFv+7QGBzCMazF79/pQSLrzSz2r1Nz/1ZqJvIpGyMbJqiacqGqCl8kDKydxAGNYyFzR5APUnwaq8iAdNScR21mCzh4TXqmUcw7Zp2r2hbqPfL1MkB0OYBj9dCPJ6AdjKYVnVS6s8MR2a6YtUyETW45Uinva8cnsOSE93gG9gw3zP4J05H0g7r7pmYqsKiuKapoh67V42dRYuAN2CWByc3Mxb948hIWF4f777++dN3EBfvCDHwiB0bm3oqIi8fOhoaH9/v23v/2tPQ6V0SPjvwV4eAJncoH6YkiF2pZaG5aJOgTj06PKAiPjonn5NPdYNN2ijCRjO7UawBwPX9nvfSsLp6qVTCi577rLINUxBzDt7e24+uqrMWfOHOzfvx9Hjx7Fa6+9NuTPPf/886irq7PdPv74Y4wfPx5JSUk4ceKECGD6Pk+BESMp/uFAkipuzZcsC3Pkn+LOb8Z1IG3rkfIGlNW3Qhbo/3K41CIayi6dIr9oUHo0IW/ZAblGfNDGiDR2Hp4InnmN+KdPJAtgtqrZXZr9FOLnHpnQMQcwmzdvhsViwdq1a5GRkYHHH38c69evH/Ln/P39RZCi3datW4df//rXMJlM2LdvHxYtWtTveR8fn7EeKmOEMpK6S5KCpirgtOK+GzDzesxNVeaxbJVo4fxU/b/MSwlHZCBfo4YnKBZIkHDER96Hyn3yYiydNVU8zCqux5mGNsjCp2oA8y032kiMOYDJzs7GwoULRUBCZGZmiizMSKCApbCwEN/97nfF13v37hU3Clyio6Px4IMPXrAsRVmghoaGfjfGYExZo9zTBz598MuACMZ6gIQ5wrBPW1i0hUYGPslVa+5cPpKwjCSRqP6oujGasgaxIb6YmRQq1bVY1diGg8V14vGlU9ynlDvsAObaa6/tlxHRbs8++yzS0tJs30d6FcqiUNlnuDz33HO4++674an25R8/flyUpbKysvDWW2/hhRdewN///vdBf/6JJ55ASEiI7UZlKMZghKUC8bOBHqs8WZijm5T7KUrKWiux7CmshaWlU4rhjeT6SVw21X12fdIzUXXlLfgCaB3+Oq5baHhjyR7l8eSr+4lctQyi0fnsaJXofJ+RFCoCNHdh2AHMiy++iEOHDp13u/XWW88r7/j6+qKlZXizbWpra7Fp0ybcfvvt/cpSf/zjH0VgtGrVKvz0pz/Fxo0bB32NBx54QJSxtFtJSclw/1uMnph6nXKf+z4MT1M1ULSjXwCTEhGASbFB6Lb2YGue8Xd+nx09A2sPMD0hBIlhSgaWkYDoScqYD5rdRZ4wUpSPeoDEeUBwfL+Ae3fBWSk2E5+qzQHuVD4aUQATExOD1NTU826xsbGorlZmoGg0NjbC29t7WK/73nvvYenSpaKDaTCojFRWVjbo8xRABQcH97sxBmTqtb1lJNo1GZlj/1KySXEzleySyhXT4sT9h9nlkKdl070WTbdg2vXKfe67MDxaRlfNvhDpUYEYHx2ILmsPtuUbezNhaenEzpM1bnktjlkDQ+3Tu3fvtn1NWhbSpISHK4LFofjHP/6B669XLxYAra2tmD59urjXoNdPSUkZ66EyeocGO9IuiXZLWs3aqBz9Z/+gTGXNTGUHuONkDc42tcOoNLbRoqlMvOX2aQmZqq7Jp7Yr2USj0nwWKFKE9Jis6uxUtPftR4eNvVnanFshpmxTdndctNzDG+0ewCxbtkyIZl999VXxNXUhUdmHdDBEfX09uru7B/xZClK2b9+OFStU8yRqN/XzE9mee+65R7RlU3cS6WBII8O4URnpyPvGXjQLv+5XPtJIiwxAZmKIKCN9nGPcNtUtR86go9uKjKgAt1s03YKIDCB+FtDTDeSpWi4jQoZ89H+InQ6E92o1iatnKJuJ7cerUN/SAaPyz0NKdeKamQlwN8YcwJjNZrz88su49957ERkZKfQsTz75pO15Kg3l5OQM+LO7du0Sz6en97d1fuWVV3D69GksWbJEaG/efvttLF++fKyHyhgB7QO/eDfQUG7g8hEtmplA+PmW5WvUhXPToXLjLppZyqJ5rRsumm7DtBuU+9z3YFi0jdDk/hsJYkJMECbHBYvsxUcG3UxUWFpFU0Df7K47YRcn3jVr1qCgoACvv/468vLyMGXKFNtz1P48c+bMAX/ukksuQWXl+em75ORkbNu2DW1tbTh27BhuuEG9kBj5CUkEkhYYu4x0TvfRudDOj4zf9p+uQ2nd8MTueqLS0oadBTVuu+tzu2zo6V2AZXANom4hI75TXyqPpw/8GXLdrPh+AbnR+DC7XHQfzU8NR0KoH9wNu81CIjHv6tWrERERYa+XZODuZSQD7vzIw0ZbNLX/xznEBPtiYZpynXyYbbyd3wfZZWLRnJsShuQI7j6SejORvEjdTKiaLiOR844ipCeX7wEyocSaGQliM7GvyJibiU1qFtcdsy8ED3Nk9IfIXHgo3g31BmuJP/wPpXxEYmTSEQyCtuB8YMBupPcOKrvV62Zz9sV9ykgG7EbKflu5n6EYpA4EeaYsSo8wZEn3ZFWjGE1Cs49WT1e6G90NDmAY/UFeDSkXKY8Pq4uQEaC0xKE3lcczv3fBb71iWiy8TB7Iq2jAiTONMAp0vMcqG8Wxu+ui6XabCRq0SrORagthGCpzgKojgMn7vE7Ac9F0XFRGGs4gYr2wSQ24lk+IQljA8GxLZIMDGEafzLpFuc/6G2C1whBUHAKqjgImn9421EEI9fcWC4/RsjBax8PKidHi/8BITmA0kLZMeZwzuJmobrMvNGPNb3CPMeLy6bHwNnuKSc5HK4wxhoYCrU1qAHPNLPfNhHIAw+h35+cdBNQV2QYi6p5Dbyn3k68C/JRZKxdCa+OkhchKlrY6h1q/N2Upi+b1XD5yHzLVEkzWG8bYTHR3KaVcYsbNQ357sK8XVk2ONlQZ6VBJPYprW+DvbbIduzvCAQyjT7wDejsHaOHUO13timhwGOUjDZqNFOhjFgvR7lOKKZye2XPqLCob2hDsa8aKie67aLrlZsInBKg/DRSqAnU9c+oLoLkK8I8Axq0a1o9o3XSbDpWJQN0oOrRvTYmBv7cZ7goHMIx+mfX93rbkNgt0Tf5mZfBdUDyQvnJYP0ILz7VqG+dbe4qhd95TW01XZ8bB10sxqmTcAG9/IPM7yuMDr0P3ZG9Q7qd/GzB5DetHVkyMQoifF840tAuXbD3T3N6F99Vr8cY57j24mAMYRr8kzAGiJgNdbfqvv2vlI+p48Bz+h/v35qfY5gpVN+p3tICltRMfHVZavq+blejqw2GczZzblHsa7qjn0QK00dEGUF6g++hcfMwmW1n0jd2noWdIM9fU3iVcvRdnuLdtCQcwjH4hg4bZ39d/GYkGT578bETlI40p8cGYmRQqhsq9c0C/LePvHihFa2c3JsQEYl7qhUWRjISQFT9tKGhCdbYarOsR0r7QhidyojJIdQT820JlM7Ht2BndesKQePdv3ygB1vfmJ8PT0wPuDAcwjL7JvAnw9ALKs4DKXOi240F4v8wHIseP+MdvWZAs7t/eW6JLMS8d0xvqovn9RanwoMCScT9mq1mYg/+nWAboDTqmvS8pj+f9u7IBGgEZUYG4aFwE6BLcsFefJd3sUovwfqGuqRvncCaUAxhG3wREKq2QWku1Hjse9r2sPNayRSPkqsx4BPkqYl491t/pmAprmoXg+Do3btl0e8jUzjsQOHtSn52BJN6tOa50Lw6j+2ggvq9mYf6+rwTtXQMPIXYlWvblqulxbuv90hcOYBj9M/tW5Z5S1+06M3079iFgKVE6Hkg0OAr8vE24YXaibsW8/6dqAmjHR0EM46b4BPY68x54Dbpjz4u9HlK+waN6iVWTYxAT7IOapg58knv+nD5XYmnpFLOPiFvUQMvd4QCG0T8ZlwAR4xSBnt6yMLufV+7n/jvgNfphat9Ty0hb887gTEMb9EJJbQs+P3amn0aAcWPm/EC5p0GrzTrKFp4tAI5vUR7P++GoX8Zs8rQJ67Vsh17YeLAU7V1WTIoNwuzkoX2m3AEOYBj94+kJLLq3N2Cgso0eKN0PlO5V7Mrn3Tmml5oQEySGI5IHhZ7q72/uKRbSgiXjIjEuOtDVh8O4mvhZQPxsoLsd2PMCdIMo4/YA4y4FIseN6aW+Oz8JJk8PMeCRRmfoRbz75p7Tto0E69AUOIBhjAG1RPpHApZi/UzG3f1n5X7ajUBQzJhf7tbFqeL+9V1FwuvB1bR1duPv+5Rg6vuLOPvCqJ2BS36mnAoSzOqhpNve1JuZXfDjMb8cTYu/bKpyPWvidVfz5fFqnKpuRoC3CdeyDs0GBzCMMaDyzPwfKY93Pev6Lgiakk0Ge8Sie+zykjQcMTXCH3UtnbrIwnxwqFwcS3yILy6ZxM67jMqkq4GI8UpJVw9aGDKua29QyswZF9vlJb+/MNVmH1Dl4pIuZV+e+/yEeHzz/GTWofWBAxjGOFCZxuwHVGQDRV+79lho90mt06lLFY8MO0Bp67tXZIjHL351SmRAXEVntxX/+8VJ8fi2xalCG8AwtpLuRff1ZiFpjIarsHb3lrLm36Ucmx1YmB6OOSlhQnPywvZTcCW7Cs7iYHG9aJ3+0bJ0lx6L3uBViTEOARG9U6p3Puu646C0+UHVUn3R/7PrS5PLLWU8yJX3nQOlcBXvHSwVbd2Rgd5cPmIG9meisRmNFb2Tn13B4b8rbd00cXrm6FqnB4I0Jvddong6kfbElVmYZ9XsCxnXRQf7uuw49AgHMIyxEAGDB3ByK3DmqGuOYddzSvqc0ujjL7PrS9Mu667lShbmhS8LRCbE2XR0WfHs50r25cfLM9x6WBwzCGZvYLEqrN/5JyUT4my6OoAvn1AeL/kPwCfIri+/dHyk6PahLAxlRF01QHVPYS28TbQucPblXDiAYYxFeDow+Wrl8Re/c/7vbzwD7Ppf5fElD9ktZd2Xm+YlITLQB2X1rdh0SPF9cCYbD5SK3x0V5INbFrB4l7mAM69vKFBbAOR96PzTRFnQ+mIgMGZMrdMXysL8bNUEW0t1VaPzszDPbVM2EjfOTURcyOhtGmSFAxjGeKz8H8DDBBz7F1DoZC3M9ieBzmYgYS4weY1DfgVNer5zaZp4/PwXJ0VrtbMg99H/3aakrO9ZkSFM9hhmUGO7BXcpj794HOjudN6J6mgBvnpaebzsfmVitgOgLMwsNQvzkpO1MAdO1wkXbDNp49SsLNMfDmAY4xE9CZh7u/J4y3/TsB7n/N6ak71dF5c+OuJZKyOBvB5C/LxwqqYZbzmxI+kf+0pQbmkTbqTU8cAwF2Th3YoLdU0+sPevzvV9aaoEQpN7ZzQ5gH5ZmD3Oy8JQ59G6rcfFY5qSnRTumADN6HAAwxiTFQ8APsFA5WHgsJNEhNseUzqPSPeSusShv4os+39+qbJwPvXJMdQ0Ob7Tg7xn/vxFgXj8/1aOE5kghrkgJJ695GHlMelRmqodf8LaGoAda5XHy3+l6HEcyDI1C9PWacVTn+TDGXyUUyGyL6R9oWuRGRgOYBjjDnlc9gvl8eePAR3NjnfdFb4vHsCqX8MZUBZmanwwGtq68MTHxxz++57ako/KhjYkhvkJHQ7DDItZ3wfiZipeLJ8/6viT9tVTQGudIqKnbigHQ1mYB1dPEQlX6gzc5eCBqw1tnXjsQ6VBgWwVUiICHPr7jAwHMIxxId+H0BSllZM6gxwFjS7Y/F/K45nfA2KmwBmQL8xvrp0mHr97sBT7imod9rsOnK7F67uLxOMnrp8OHzNnX5hh4mkCrviD8pgcccsOOO7UlewDdqsi+m/9BjA5p0OOPGH+TRW0//f7OQ71aHpmSz6qGtuRFhlg84ViBoYDGMa4ePkqWhRixx+BqmOO2/GV7Qd8QhQBsROZnRyGm+cr2ZCH/pmLLge0VdNi/MuNh4W58bfnJGLp+Ci7/w5GcpIXAJnfVeYRffxLx+jSOluBf94N9FiV3zXxCjiT+y+fKLRhRWdb8JwqdLc3h0vr8X/q+ILfXjuNy7hDwAEMY2ymXAukrwS6WoF3fqB0J9iTkr3AV+ru8qq1QEgCnM0vL5uEMH8vHKtsxKs7lSyJPfnzFydRUN0s2qYpVc4wo4I2E96BSrC/2wEZ0W2/Bc6eAAJjgSt+D2cT7OuFx65RMqIvbj9l90GP1G1I2R3aSFw7Mx4XjYu06+vLCAcwjLGhwvT1LyleENV5wOZf2lcs+O6dyo5v+neA6TfCFYQFeOO/Lp8kHv9hyzFhbmUvjpY34C9fKsLd31wzFSH+XnZ7bcbNCIoFLn1MefzZr4FTX9rvtYu/6R2euuZZRTzsAi6bGisGPXZZe/Crdw8L2wF7QV1HuWUNCPY14394IzEsOIBhjE9gNHDDy4CHJ5D1BpD9d/u8Lule6k8DIcnAatVzwkWQqHZ1Zhw6u3tw95sHUVI79kwT2aP/+G8HxGJ8xbRYXD4tzi7Hyrgxc+8AZnxPCfrfuV0xmhsrLbVK6YjKUzP/DZhgX/frkUJZmCBfM7JLLfjFO4dhtYNPE5lHarPHHr1mqsiGMkPDAQwjB2nLgOWq0PZf/wFUKx4Ko+abvwDZbylB0fUvAr4hcCXUCfH0jTMwLSEYtc0duPP1/Whq7xr161laO3Hbq/vEvKPkcH+bWJhhxvhGVUqtcTOA1lrg799XtCujpbUeeONaoPYUEJwIXOYC9+1ziAn2xV9umSMM5j7MLseTn4xNe7e74CweeO+wePz/VmaIeWjM8OAAhpEHcuSkQIaccl+/CqhQFoURs2Md8Mmvev1mUhZDD5Ar7l9vnSt2Z/lnGvGzt7NG5dJLot0f/t9+UcOnkQVv/Pt8cc8wdsHLD7jpb4BfOFBxCNj0/5S5RSOlvQl489vK9Hkyy/u3dwG/UF38kZaMj8QfbswUj2lO0ms7C0f1Oqeqm0QWlDKrlGH9z0sn2vlI5cZuAUxNTQ3S0tJQVDR8keH27dsxefJkREZGYu1a1ZhIZePGjUhJSUF8fDw2bNhgr8NkZG/nvGE9ED0VaDoDvHoFULBt+D9P6rkvnlDq9wRldCgo0hE0D+Wl788RQx8/y6vCD17dOyKTu9aObvxkQxb2FtYiyMeM1++Yxz4TjP0hh9xvv6pkMHPfBf5vDdBUNfyfp6zNhu8CpXuV7OetmxQHbh1x/exE3H+ZEnA8+q+jeGtPsXDQHcmogO+v3yuyoWSU98y3Z8DT03Hu3jLiaa/g5aqrrhpR8FJdXY01a9bg5ptvxu7du/Hmm2/iiy++EM/l5ubilltuwUMPPYQtW7bg4YcfRn6+cxwQGQn0MHdsBlKXAh3qDu7QW0pwMlSd/eNfANvV7oZLHgFW/rdDxwWMllnJYXj2u7Pg6+WJr0/UYPWzXw9L2LvzZA0u/9NX2Hr0jAiA/nrbXEyNd21pjJGY9BXAzX9XHLOLdwMvrQDKDg79c0U7gJdXAUVfA95BwPffB2KnQ4/QvLBbFiSL5YU6iKi0S9qyC0FWCH/67AS+8+JuMTQ1NcIfL31/LrdMjwKPnpGEjIOwatUqEYzcd999KCwsRGpq6pA/88c//hEvvvgijh49Kur7mzZtwjvvvIO//e1v+NnPfoZjx47hk08+Ed/7pz/9SQQ8v/3tb4d1PA0NDQgJCYHFYkFwcPBY/3uMEelqV4R/tPsjyCmUBs9NvV7xj9EgR8/dzwN7XlCcRInLf6/MeNE5x8804p43D+JkVRNo43bHRWm4MjMOMxJDhQkeQZc3LZK0YJKLKBEb7Iunvz1DpMEZxuHUnAA23Ky0QJt9gVn/Bky7EUha0H+aOwl+P30IOPpP5WuadH3z20DKIl3/kaiM+9JXp0QXUUe3Vcww+58rJ+OSydGI6FOapVEdZEb5v9tOYv/pOvFv1C792LXTRIs2M/LPb7sEMBS0UPmIApHhBjC33347/Pz88Pzzz4uvKyoqcPHFFyMvLw8rV67EFVdcgV/+UmmJpQzNY489hs2bNw/4Wu3t7eLW9wQkJSVxAOPukJnWl48DO58FutX3B9XSY6YpKerOFqDuNNDRqDxHpSea6zLxchiFlo4uPPjPXLx3sMz2b+EB3liQFi5KS/mVjWIUAUHJJHIT/eXlExHECybjTNoswLs/BE5s6f23kCRF7EtO2pZSpewr3qiewJzbFdPIgAjD/J3oWvvPdw6JVmiNpHA/ZCaEosLSisOlFtHxp806+821U1mwO8YAZtg+zNdeey2+/PL8vn7Kitx7772jOsgpU3pNs+hAy8vLbc9RQDTQcwPxxBNP4NFHnTCDgzEWtLu7+EFgwd3AwdeAfa8ADaVA4fb+3xc9RdG7TF7Tf0doAPy9zaJ2Tv4UHxwqx1cnqkWX0ubcStv3UDZmekIIHlw9GXNTw116vIybQjoWyqac2gbkvAsc+xdgKVFufaHS7+VP6LZkdCEmxgbh/XsuEtmY97PKRGa0pLZV3DQSQv2wZFykGNCYHMETpsfKsAMYKve0tp7fDhceProF0Ww2w8enN73m6+uLlpaWIZ8biAceeAA///nPz8vAMIyAdnFL/xNYfJ9irtVWr3RK0I0W1rhZhgtc+kKZT8VgKxad3VYcPF2Hg8X1iA3xwcSYYGREB/BsI8b10DU2bpVy61wHnPwMaChX3K1DEpWMjL+xA2wvdXo03WgoY06pBbllFmFGuSg9AknhHLS4JICJiYmx6y+mwId0LRqNjY3w9vYe8rmBoGCnb8DDMANCg9/Gr5L65NACuiA9QtwYRreQDm3yVZAZ0rXQOAAeCeA4XLbtnDdvntC2aGRlZSEhIWHI5xiGYRiGYRwewFA5p7Oz87x/p66lnTt34rPPPhPP/+EPf8BllykW0TfccAPefvtt5OTkoKmpCc8++6ztOYZhGIZhGIcHMJmZmfjoo4/O+3cyr1u3bh2uvPJKUZ4in5cHH3xQPDdjxgzRkj137lyReTGZTLjnnnv4r8UwDMMwjP3aqMcCtV2T58vSpUsRGBjY7znyiCkrK8Py5csvqIE5F/aBYRiGYRjj4XQfGL3BAQzDMAzDyP35bdzeUYZhGIZh3BYOYBiGYRiGMRwcwDAMwzAMYzg4gGEYhmEYxnBwAMMwDMMwjOHgAIZhGIZhGMPBAQzDMAzDMIaDAxiGYRiGYeSdRm0kNG8+MsRhGIZhGMYYaJ/bw/HYlTKAaWxsFPdJSUmuPhSGYRiGYUbxOU6OvG43SsBqtaK8vBxBQUHw8PCwe3RIgVFJScmQNsfuCJ8fPj/8/uFrjNcg/dKg888wCkkoeImPj4enp6f7ZWDoP52YmOjQ30F/eD3+8fUCnx8+P/z+4WuM1yD9Eqzjz7ChMi8aLOJlGIZhGMZwcADDMAzDMIzh4ABmhPj4+OCRRx4R9wyfH37/2Be+vvgc8XvIsfhI9BkmpYiXYRiGYRi54QwMwzAMwzCGgwMYhmEYhmEMBwcwDMMwDMMYDg5gGLuxadMmpKenw2w2Y+bMmcjLy+OzOwiXX345XnvtNT4/A/Bf//VfuPrqq/ncnMPLL78sDMj8/f2xYsUKnDp1is8RMyQ1NTVIS0tDUVGRdGs1BzAjIDc3F/PmzUNYWBjuv//+Yc1qcBcKCgpw++234/e//z3KysowYcIE3Hnnna4+LF3y5ptvYsuWLa4+DF1y+PBhPP/88/jTn/7k6kPR3fX12GOPiQ+eY8eOISMjAz/4wQ9cfVi6/YDmtbr33Fx11VX9zo1MazUHMMOkvb1d7ArnzJmD/fv34+jRo7yD7gNF8HRBfOc730FMTAzuvvtuZGVlOeRNa2Rqa2vxn//5n5g4caKrD0WXI0B+9KMf4T/+4z/E7pDpha6lhQsXYvbs2UhOTsYdd9yBkydPuv0pGugDmtfqXr773e/ie9/7nrRrNQcww2Tz5s2wWCxYu3at2P08/vjjWL9+vWP/OgaCFhH68NHIz8/H+PHjXXpMeoSCl+uuu058GDH9eeGFF5CTk4PU1FR88MEH6Ojo4FOkMmXKFGzbtg2HDh0S6xBlqS699FK3Pz8DfUDzWt3LX//6V/z0pz+Vdq3mAGaYZGdniw8dqj8TmZmZIgvDnA998DzzzDP48Y9/zKenD1988QU+//xz/OEPf+Dzcg5NTU3CXIsyL6dPn8a6deuwZMkStLa28rlSA5gbb7wRs2bNQmhoKHbv3o2nn37a7c/NQB/QvFb3QqU1mddqDmBGMMGz75uBplybTCbU1dU56m9jWOiDKCAgwLB1VUfQ1taGu+66C3/5y1/ElHSmP++99x6am5tFkPfoo49i69atYiLtG2+8wacKwN69e/Hhhx/im2++QX19PW6++WZceeWVbq/DG+gDmtdq91mrOYAZJqTWPtd62dfXFy0tLY74uxgWSnP/+c9/xltvvQUvLy9XH45u+M1vfiME4KtXr3b1oeiS0tJSkeGMjIy0XW+U5WSdh8KGDRtEuWTBggViUu9vf/tbIcakbAPTH16r3WetNrv6AIxCeHi4ULb3hXaI3t7eLjsmvVFYWCh2hnRRUMqb6YUWierqapH+Jyjw/cc//iF21qRncHcSExPPKxdRKWnx4sUuOya9CZxJsNp37aH3UHd3t0uPS4/wWu0+azUHMMOEds9Ub+37BiC1O10sDMSHD4nDrrnmGiFSJU0DQelJKre5O19//TW6urpsX//iF78QGQduhVWgzNRPfvITIeSl9xGVlCi78M4777jsb6Ynli5dittuu010IVHnCHnCxMbGiiwV0x9eq91oraZhjszQdHZ29kRFRfW88sor4us777yz56qrruJTp/LPf/6TTHHOuxUWFvI5GoDbbrut59VXX+Vz04cdO3b0LFy4sMfPz68nPT2954MPPuDzo2K1Wnsee+yxnuTk5B4vL6+eWbNm9Rw8eJDPj0rftYbX6gufH5nWap5GPQKotZPSbn5+fvD09MSXX35p6PQbwzCMDFDmgLLi1IJP8FrtHnAAM0IqKytx4MABkf6PiIhwzF+FYRiGGRO8VssPBzAMwzAMwxgObqNmGIZhGMZwcADDMAzDMIzh4ACGYRiGYRjDwQEMwzAMwzCGgwMYhmEYhmEMBwcwDMMwDMMYDg5gGIZhGIYxHBzAMAzDMAxjODiAYRiGYRgGRuP/A5VMij+qakmrAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "x=np.arange(0,4*np.pi,0.1)\n",
    "y=np.sin(x)\n",
    "z=np.cos(x)\n",
    "plt.plot(x,y,x,z)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "c71c74df",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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5xhtviH0cPHjELK+0OWTIEPr9738v7wMAAAD7s/fat30KIhs3bqTly5d32ZaRkUGTJk0iHx8fcT0tLU20ilj38eqd1j6iCRMm0LFjxy77/bl1hQe4dL4AAACAbZnMrfRZTik9/u5xWvLWUbKnPg1W5bEhF+Ow0Hk7hw6lUkk1NTViX0pKiryPB5zylNzLWbt2La1evbovhwQAAAC90Gy20MH8CtqeqaPPc8rIYDKL7dxWUF7XROFaDdnDNc+aUalU5OXl1WWbRqMho9F4yT7r9stZtWoVrVix4pLpPwAAANB3La0W+vpMFe3ILKFPc8pI39gi74vUamheWhSlp0VRmH/X93GnCiLBwcFi1kxnXE3N09NT7OMBqxdvvxwOLReHGgAAAOi9VotE35ytEi0fu7J1VGPsCB8cOOaltoWP6+KCSKGwf9Xyaw4iPG2Xx45YFRQUiLEeHEJ439atW+V9x48fp5iYmGt9SAAAAOjEYpHoSGG1CB87s3VUWd8s7wvx9aTbUiNpXmo0TUgIJqUDhA+bBpGpU6eKLpTNmzfT4sWLxayZWbNmiXEiPHX30Ucfpd27d9O0adNo3bp1NHv2bNscOQAAgJuHj+PFNbQtQ0efZOmo3GCS9wX6qGnOyEhKT4umSYnBpFI67hq3NhkjsmnTJlErhIuZ8eI2+/btE/u4iNlLL71Ec+fOJT8/PwoMDJRrjAAAAEDfp9pmnNfT9owSET5K9E3yPn+NimaL8BFFNyaHktqBw0dnHpKNJhCXlpaKqbk8lTckJKTLPu6uycvLoylTpohA0lvc0hIQECDqlKDEOwAAuCNJkiinpI62ZZbQjkwdna9plPf5eanolpQIET5uGhJKXiolOYK+vH/bLIj0BwQRAABwR5IkUV6pgba3h4/Cqo4Zpz6eSrp5RFv4mDY0jDRqxwgfV/v+7dCL3gEAALiT02UcPnQigJypaJC3a9QKmjk8XIz5mDEsnLw9HS98XC0EEQAAADsqqGwQYz44gJwsM8jbPVUKmj40TNT6mDUigny9XPMt2zV/KgAAAAdWVGWk7VkltD1DR7m6juVM1EoPmjqkLXzw2A9/jZpcHYIIAADAALhQ2ygqnHLLR+Z5fccbscJDzHLh8DE7JZICfFw/fHSGIAIAANBPSvVNtCOrbczH8aJaeTvXFJuc1BY+uN5HkO/lq467OgQRAAAAGyo3NNHOrFIRPo4U1sjbeXG5CfHBlD46mm4bFUmhfljSBEEEAADABqrqTbQrp1SM+ThcUEWWToUxrh8cJKba3pYaRRF2WuHWkaFFBAAA4CrUGpvpUw4fmTqxwi0vNmc1JjZQhI+5qVEUHeiN83sFCCIAAAC9pG9soc9zy0S3y8HTlWTuFD5SYwLk8BEb7INz2ksIIgAAAFdgaGqhL06Ui/Bx4FQlNbda5H0jorQifMxLjaL4UF+cx6uAIAIAAHARY7NZDh97T1ZQs7kjfAwJ9xMVTtNHR1FSWO/XT4PuIYgAAAAQUVNLK+3NK6ftWTrac6KcGlta5fOSGOorWj54xsvQCH+cLxtCEAEAALdlMrfS/pMVotbH7twyamjuCB9xwT5t4SMtmkZE+ZMHz78Fm0MQAQAAt8LdLAfzK8Rsl89zyshgMsv7YgK95fAxKkaL8DEAEEQAAMDltbRaxBRbLrH+aU6ZmP1iFanViAqnfBkbG4jwMcAQRAAAwCVxXY/DZ6toW6aOdmXrqMbYET7C/L3ETBcOH+PigkjBNdfBLhBEAADAZVgsEh0prBbdLjuzdVRZ3yzvC/H1pDmjIkW3y4SEYFIifDgEBBEAAHD68HG8uIa2ZejokywdlRtM8r5AH7VYVI7Dx6TEYFIpFXY9VrgUgggAADgdSZIo47yetmeUiPBRom+S9/lrVDRbhI8oujE5lNQIH+4RRDZt2kSrV6+mqqoqmjBhAr355puUmJhI2dnZtHjxYsrPz6clS5bQunXrMBAIAACuKnzklNTRtswS2pGpo/M1jfI+Py8V3ZISIcLHTUNCyUulxBl2Eh4SP7PX6MyZMzRjxgz66KOPKDQ0VASS06dP0+eff07Dhw+n2bNn08qVK2n58uV01113iWDSG3V1dRQQEEB6vZ60Wu21HiYAADgZfovKKzWI4MFVTgurjPI+H08l3TyiLXxMGxpGGjXCh6Poy/u3TVpEjh8/TpMmTaLrrrtOXH/ggQfo7rvvpp07d4qDePHFF8nHx4fWrFlDjz76aK+DCAAAuKf8coMY88Hh40xFg7xdo1bQzOHhNC81Wnz19kT4cHY2CSIpKSm0Z88e+v777ykhIYHWr19Pt9xyC2VkZIiAwiGEpaWlUW5u7mW/j8lkEpfOiQoAANxDQWWDGPPBM15Olhnk7Z4qBU0fGiam2s4aEUG+Xhje6EpsFkS4y2Xs2LHiOoeRw4cP05/+9Cfxfysuj6tUKqmmpoaCgoIu+T5r164V3ToAAOAeiqqMtD2rhLZn6ChX1/HhU630oKlD2sIHj/3w16jtepzg4EHk22+/pW3bttE333wjxoTwgNS5c+fSzJkzycvLq8ttNRoNGY3GboPIqlWraMWKFV1aRGJjY21xiAAA4CAu1DaKCqfc8pF5Xi9v57oePMuFx3zMTomkAB+ED3dgkyDyzjvv0D333EMTJ04U1//4xz/Shg0bRCsJz5rpzGAwkKenZ7ffh0PLxcEFAACcX6m+SSwsxwHku6JaeTvXFLshKUTU+eApt8G+3b8/gOuySRCxWCxUWVnZJWxwq4dKpaJDhw7J2wsKCsQYkODgYFs8LAAAOLByQxPtzCoVM16OnKsm6xxNXsR2QnwwpY+OpttGRVKoHz6AujObBJEpU6bQokWLxKyZiIgIUVMkMjJSTNd9/vnnafPmzWKmDM+amTVrlhgnAgAArqeq3kS7ckrFmI/DBVVk6VQg4vrBQaLb5bbUKIrQaux5mOBqQWT+/Pl04sQJevnll0mn09GoUaPoww8/JLVaLULJggULRB0RhUJB+/bts8VDAgCAg6g1NtOnHD4ydWKFW15szmpMbKAIH3NToyg60NuuxwkuXNCsJ6WlpXTs2DExlTckJKTX90NBMwAAx1TX1EKf5ZSJOh8HT1eSuVP4SI0JELNdeHXb2OC28g3gXuoGuqBZT7ibZt68eQPxUAAA0E/qTWbandsWPg6cqqTmVou8b0SUVrR8cPiID/XFcwC9hqowAABwWcZmM31xolyEj70nK6jZ3BE+hoT7idku3PqRHO6HswhXBUEEAAC6aGpppb155bQ9S0d7TpRTY0urvC8x1Fe0fPCMl6ER/jhzcM0QRAAAgEzmVtp/skLU+uDul4bmjvARF+zTFj7SomlElD9WUAebQhABAHBT3M3yVX4lbcssoc9zyshgMsv7YgK928Z8pEWJwae8RAdAf0AQAQBwIy2tFjp0pkqM+fg0p4z0jS3yvkitpm22S1oUjY0NRPiAAYEgAgDg4riux+GzVbQtU0e7snVUY+wIH2H+XmKmC4ePcXFBpOCa6wADCEEEAMAFWSwSHSmsFkXGdmbrqLK+Wd4X4utJc0ZFijEfExKCxWJzAPaCIAIA4ELh43hxDW3L0NEnWToqN5jkfYE+apozsi18TEoMJpVSYddjBbBCEAEAcGJcHDvjvJ62Z5SI8FGib5L3+WtUYkVbHnR6Y3IoqRE+wAEhiAAAOGH4yCmpE90uO7JKqLi6Ud7n56WiW1IiRPi4aUgoeamwyCg4NgQRAAAnCR95pQbakakTM14Kq4zyPh9PJd08oi18TBsaRho1wgc4DwQRAAAHll9uEGM+OHycqWiQt2vUCpo5PJzmpUaLr96eCB/gnBBEAAAcTEFlgxjzwV0vJ8sM8nZPpYKmDQsTLR+zRkSQrxf+hIPzw6sYAMABFFUZaXtWCW3P0FGurk7erlZ60JQh7eEjJYK0GrVdjxPA1hBEAADs5EJtI+3ILBHjPnjmixXX9eBZLhw+ZqdEUoAPwge4LgQRAIABVKpvEgvLcQD5rqhW3s41xW5IChF1PnjKbbCvJ54XcAsIIgAA/azc0EQ7s0pFy8eRc9UkSW3beR25CfHBlD46mm4bFUmhfl54LsDtIIgAAPSDqnoT7copFWM+DhdUkaU9fLDrBweJbpfbUqMoQqvB+Qe3ZvMg8pvf/IZyc3Np27Zt4np2djYtXryY8vPzacmSJbRu3Tqs6AgALqnW2EyfcvjI1NHXZ6rEYnNWY2IDRfiYmxpF0YHedj1OAJcNIpmZmbR+/XrKyMgQ100mE91+++00e/Zsevfdd2n58uW0ZcsWEUwAAFxBXVMLfZZTJup8HDxdSeZO4SM1JkCsasur28YG+9j1OAFcPohYLBZaunQpPfHEE5SYmCi27dy5k/R6Pb344ovk4+NDa9asoUcffRRBBACcWr3JTLtz28LHgVOV1NxqkfeNiNKKlg8OH/GhvnY9TgC3CiKvvfYaZWVliTDyv//9j+bMmSNaRiZNmiRCCEtLSxPdNpfDLSh8saqr65hLDwBgT8ZmM31xolyEj70nK6jZ3BE+hoT7idku3PqRHO5n1+MEcMsgUl9fT88884xoCTl37hz985//pD/+8Y80ZcoUSkhIkG/n4eFBSqWSampqKCgo6JLvs3btWlq9erUtDgkA4Jo1tbTS3rxy2p6loz0nyqmxpVXelxjq29bykRZNwyL9cbYB7BlEPvjgA2poaKC9e/dSaGgomc1mSk1NpTfffPOSbhiNRkNGo7HbILJq1SpasWJFlxaR2NhYWxwiAECvmMyttP9khaj1wd0vDc0d4SMu2Kc9fERRSpQWA+8BHCWInD9/XnTBcAgR31SlEt0weXl5VFFR0eW2BoOBPD27L9Tj5eUlLgAAA4m7Wb7Kr6RtmSX0eU4ZGUxmeV9MoLccPnjwKbfsAoCDBZFBgwZRY2Njl23cRfPyyy/TK6+8Im8rKCgQY0CCg4Nt8bAAAFetpdVCh85UiTEfn+aUkb6xRd4XqdW0zXZJi6KxsYEIHwD9yEOSrDX+rl5VVZUYH/L8889Tenq66KrheiKnTp2icePGie3cRfPggw9SaWmpXGOkJ9w1ExAQIGbeaLXaaz1MAHBzXNfj8Nkq2papo13ZOqoxdoSPMH8vmjsqUlQ5HRcXRAquuQ4AV6Uv7982aREJCQmhTz75hH71q1+JMR5RUVH03nvvifEdmzZtogULFtDKlStJoVDQvn37bPGQAAC9YrFIdKSwWhQZ25mto8r65o6/Xb6eNIfDR1o0TUgIFovNAYATtoj0hFtBjh07JsaRcGjpLbSIAMDVho/jxTW0LUNHn2TpqNzQURYg0EdNc0a2hY9JicGkUipwkgGcvUWkJ5GRkTRv3ryBeCgAcFP8mSrjvF6sasuLy5Xom+R9/hqVWNGWB53emBxKaoQPAIeBRe8AwKnDR05Jneh22ZFVQsXVHYPm/bxUdEtKhAgfNw0JJS+V0q7HCgDdQxABAKcLH3mlBtHqwTNeCquM8j5vtZJmpUSI8urTh4WRRo3wAeDoEEQAwCnklxvEmA8OH2cqGuTtXioFzRweLsZ88FdvT4QPAGeCIAIADqugsoG2Z5SIrpeTZQZ5u6dSQdOGhYlul1kjIsjXC3/KAJwVfnsBwKEUVRlpe1bbgFMe/2GlVnrQlCHt4SMlgrQatV2PEwBsA0EEAOzuQm2jPNuFZ75YcV0PnuXC4WN2SiQF+CB8ALgaBBEAsItSfZNYWI4DyHdFtfJ2ril2Q1KIGPPBU26DfbtfmwoAXAOCCAAMmHJDE+3MKhUtH0fOVZO1nCKvIzchPliUV+diY1xuHQDcA4IIAPSrqnoT7coppe0ZOjpcUEWWTrWcrx8cJBaWm5saRRFaDZ4JADeEIAIANldrbKZPOXxk6ujrM1VisTmrMbGBYswHh4/oQG+cfQA3hyACADZR19RCn+WUiTofB09XkrlT+BgVoxVjPrjQWGywD844AMgQRADgqtWbzLQ7ty18HDhVSc2tFnnf8Eh/un10W/iID/XFWQaAbiGIAECfGJvN9MWJchE+9p6soGZzR/gYEu7X1vKRFkXJ4X44swDQIwQRAOhRU0sr7c0rp+1ZOtpzopwaW1rlfYmhvmLMx7y0aBoW6Y+zCQB9giACAN0ymVtFdwu3fHD3S0NzR/iIC/ZpDx9RlBKlJQ+efwsAcBUQRABAxt0sX+VX0rbMEvo8p4wMJrO8LybQWwQPDiCpMQEIHwBgEwgiAG6updVCh85UiZaPT3PKSN/YIu+L1GrENNv00VE0NjYQ4QMAbA5BBMANcV2Pw2eraFumjnZl66jG2BE+uKrp3FGRosrpuLggUnDNdQCAfoIgAuAmLBaJjhRWi/VdPskqpcp6k7wvxNeT5nD4SIumCQnBYrE5AACnDSJz5syhe+65h+6//37av38/PfTQQ1RRUUFPPvkkrVixoj8eEgAuEz6OF9eICqefZOmorK4jfAT6qMW6Lhw+JiUGk0qpwDkEAOcPIm+//TZ9+umnIohw+Ljjjjvol7/8JS1YsEBsGzt2LM2YMcPWDwsA7SRJoozzerGqLS8uV6Jvks+Nv0YlVrTlAac3JoeSGuEDAFwpiFRXV4vQMWzYMDmUREdH0+9+9zsxyO33v/89vfHGGwgiAP0QPnJK6kTLx46sEiqubpT3+Xmp6JaUCFHhdMrQUPJSKXH+AcA1gwiHkDvvvJMaG9v+CGZkZIjQYa0xMGHCBPrtb3972fubTCZxsaqrq7Pl4QG4XPg4WWYQq9ryjJfCKqO8z1utpFnt4WP6sDDSqBE+AMDFg8jevXvpiy++oJycHHrsscfkIJGSkiLfRqvVUklJyWW/x9q1a2n16tW2OiQAl5RfbqBtGdzyoaP88np5u5dKQTOHh4sxH/zV2xPhAwDcJIg0NTXRsmXLaMOGDeTv31HiWaVSkZeXl3xdo9GQ0djxqe1iq1at6jKYlYNMbGysLQ4RwKkVVDbQ9owSET7ySg3ydk+lgqYNCxNjPmaNiCBfL0yEAwDnYpO/Ws899xyNHz+e5s2b12V7cHCwGLBqZTAYyNPT87Lfh0NL5+AC4M6Kqoy0PattwCmP/7BSKz1oypD28JESQVqN2q7HCQBg9yCydetWETgCAwPFdW71eO+998T/J0+eLN/u+PHjFBMTY4uHBHBJF2ob5dkuPPPFiut68CwXDh+zUyIpwAfhAwBcg02CyJdffklmc8eaFL/61a9o0qRJoo4Id63s3r2bpk2bRuvWraPZs2fb4iEBXEapvknU+OABp98V1crbuabYDUkhYswHT7kN9r18ayIAgFsHkUGDBnW57ufnR6GhoeLy0ksv0dy5c8U2bjHZsmWLLR4SwKlVGEy0M1snZrwcOVdNktS2nSeYTYgPFuXVudgYl1sHAHBlHhLPAexnBQUFlJeXR1OmTBGBpLd4sGpAQADp9Xox4wbAmVXVm2hXTqkIH4cLqsjS6Tdv3OAg0e3CC8xFaDX2PEwAgGvWl/fvARlin5CQIC4A7qbW2EyfcvjI1NHXZ6rEYnNWo2MD6fb28BEd6G3X4wQAsBfM9QOwsbqmFvosp0yM+Th4upLMncLHqBitGPPBhcZig31w7gHA7SGIANhAvclMu3PbwseBU5XU3GqR9w2P9KfbR7eFj/hQX5xvAIBOEEQArpKx2UxfnCgXU233niwnk7kjfAwJ92tr+UiLouTw3o+LAgBwNwgiAH3Q1NJK+06W07ZMHe05UU6NLa3yvsRQXzHgdF5aNA2L7KgwDAAAl4cgAtADk7lVdLdwtwt3vzQ0d4SPuGAf0erBASQlSisv8AgAAL2DIALQjWazhb7Kr6RtmSX0eU4ZGUwdBftiAr3l8JEaE4DwAQBwDRBEANqZWy1iii23fHyaU0b6xhb53ERqNWKabfroKBobG4jwAQBgIwgi4Na4rsfhs1VizAfX+6huaJb3cVXTuaMiRZXTcXFBpOCa6wAAYFMIIuB2LBaJjhRW044sHX2SVUqV9SZ5H6/nchuHj7RompAQLBabAwCA/oMgAm4TPo4X14gKp7zAXFldR/gI9FGLdV143McNiSGkUirseqwAAO4EQQRcFi+jlHFeTzsyS0StjxJ9k7zPX6MSK9py+LgpOZTUCB8AAHaBIAIuFz5ySupEy8eOrBIqrm6U9/l5qeiWlAhR4XTK0FDyUinteqwAAIAgAi4SPk6WGcSqtjzuo6CyQd7nrVbSrPbwMX1YGGnUCB8AAI4ELSLgtPLLDbStPXzkl9fL271UCpo5PFwMOOWv3p4IHwAAjgpBBJwKt3ZszygR4SOv1CBv91QqaNqwMFFk7OYREaIbBgAAHB/+WoPDK6oy0vastgGnPP7DSq30oClD2sIHd79oNWq7HicAAPQdggg4pAu1jfJsF575YsV1PW5MDhXhY3ZKJAX4IHwAADgzBBFwGKX6JlHjg0usf1dUK2/nmmI3JIXQvNRomjMqUhQdAwAA12CzIPLxxx/TE088QUVFRTRq1Ch65513aMSIEZSdnU2LFy+m/Px8WrJkCa1btw7rdICswmCindk6MePlyLlqkqS27byI7fj4YLo9LYrmjIoS5dYBAMD1eEg89/EanTlzhsaPH0+vvfYaTZs2jR577DG6cOEC7dmzh4YPH06zZ8+mlStX0vLly+muu+4SwaQ36urqKCAggPR6PWm12ms9THAQVfUm2pVTKsLH4YIqsnR6BY4bHCS6XXiBuQitxp6HCQAAV6kv7982CSLbt2+nkpISWrp0qbi+d+9emjdvHm3dupUeeOABOn/+PPn4+FBGRgY9+uijdPDgQZv/IODYao3NYlE5LjTGK9zyYnNWo2MDRcsHh4/oQG+7HicAAFy7vrx/26RrJj09vcv1kydP0pAhQ0TwmDRpkgghLC0tjXJzcy/7fUwmk7h0/kHAedU1tdBnOWVizMfB05Vk7hQ+RsVoRZ0PLjQWG9z2+gAAAPdj88Gqzc3N9MILL9CKFSvEuJCEhAR5n4eHBymVSqqpqaGgoKBL7rt27VpavXq1rQ8JBlC9yUy7czl86OjAqQpqbrXI+4ZH+tPto9vCR3yoL54XAACwfRB55plnyNfXVwxMffrpp8nLq+sgQ41GQ0ajsdsgsmrVKhFgOreIxMbG4mlycMZmM31xolxMtd17spxM5o7wMSTcr63lIy2KksP97HqcAADg4kGEB6e++uqr9M0335Barabg4GAxa6Yzg8FAnp7dT7/k0HJxcAHH1NTSSvtOltO2TB3tOVFOjS2t8r6EUF8x4JQDyLBIf7seJwAAuEkQKSgooAULFoggkpKSIrbxTJqNGzd2uQ2PAeGAAs7HZG6lA6cqxZgP7n5paO4IH3HBPqLVgwNISpQWU7QBAGDggkhjY6MYsPqDH/yA7rzzTqqvb1uAbMqUKaJ7ZfPmzWLK7po1a2jWrFlinAg4h2azhb7Kr6RtmSX0eU4ZGUxmeV9MoLccPlJjAhA+AACgz2wyfZeLmf3whz+8ZDu3gGRmZoqWEm9vb1IoFLRv3z65xaQnmL5rH+ZWi5hiyy0fn+aUkb6xRd4XqdWIabbpo6NobGwgwgcAANi/jkhPSktL6dixY2Iqb0hISK/vhyAycLiux+GzVWLMB9f7qG5olveF+nnRvNRISh8dTePigkjBNdcBAAAcpY5ITyIjI0WBM3AsFotERwqraUeWjj7JKqXK+o4aLryey22jIkXXy8SEELHYHAAAgK1h0Ts3DB/Hi2tEnQ9eYK6sriN8BPqoac7ItvBxQ2IIqZQKux4rAAC4PgQRN8C9b5nn9WLMB9f6KNE3yfv8NSqa3R4+bkoOJTXCBwAADCAEERcOHzkldaLlY0dWCRVXN8r7fD2VdEtKhKjzMWVoKHmpMIsJAADsA0HExcLHyTKDWNWWx30UVDbI+7zVSrp5RLgIH9OHhZFGjfABAAD2hyDiAvLLDbStPXzkl7fVcGFeKgXNHN4WPvirtyfCBwAAOBYEESfFrR3bM0pE+MgrNcjbPZUKmjYsTBQZu3lEBPl54SkGAADHhXcpJ1JcbRQVTnnAKY//sFIrPWjKkLbwMSslgrQatV2PEwAAoLcQRBzchdpG+iRTJ2a8ZJzXy9u5rseNyaGUnholZr0E+CB8AACA80EQcUCl+iZR44PDx3dFtfJ2ril2Q1IIzUuNpjmjIkXRMQAAAGeGIOIgKgwm2pmtEzNejpyrJmvhfQ8PovHxwXR7WhTNGRVFYf5e9j5UAAAAm0EQsaOqehPtyikV4eNwQRVZOq36M25wkBjzwQvMRWg19jxMAACAfoMgMsBqjc1iUTkuNMYr3PJic1ajYwNFyweHj+hA74E+NAAAgAGHIDIA6ppa6LOcMtqRWUJfnq4kc6fwMSpGK+p8zEuNothgn4E4HAAAAIeBINJP6k1m2p1bJlo+DpyqoOZWi7xveKQ/3T46WrR8JIT69tchAAAAODwEERsyNpvpixPlos7H3pPlZDJ3hI8h4X5tLR9pUZQc7mfLhwUAAHBaCCLXqKmllfadLKdtmTrac6KcGlta5X3c2sEDTjmADIv0v9aHAgAAcDkIIlfBZG6lA6cqRZ0P7n5paO4IH7HB3iJ4cABJidKSB8+/BQAAgG4hiPRSs9lCX+VXihLrn+eUkcFklvfFBHqLLhcOH6kxAQgfAAAAvYQgcgXmVouYYsstH5/mlJG+sUXeF6nViMGm6aOjaGxsIMIHAACAowaR7OxsWrx4MeXn59OSJUto3bp1DvvGzXU9Dp+tEmM+uN5HdUOzvC/Uz4vmpUZS+uhoGhcXRAquuQ4AAACOG0RMJhPdfvvtNHv2bHr33Xdp+fLltGXLFhFMHIXFItGRwmrakaWjT7JKqbLeJO/j9VxuGxUpul4mJoSIxeYAAADASYLIzp07Sa/X04svvkg+Pj60Zs0aevTRR+0eRDh8HC+uFd0uvMBcWV1H+AjwVtOckdzyEUU3JIaQSqmw67ECAAC4qn4PIhkZGTRp0iQRQlhaWhrl5uZetvWEL1Z1dXX9ckyFlQ20cOM3VKJvkrf5a1R0a0pb+LgpOZTUCB8AAADOH0Q4TCQkJMjXeWyIUqmkmpoaCgoK6nLbtWvX0urVq/v7kGhQkLcoNubrqaRbUiLEdNspQ0PJS6Xs98cGAACAAQwiKpWKvLy6Ll2v0WjIaDReEkRWrVpFK1as6BJiYmNjbX9MSgX94/9NoKQwP9KoET4AAABcNogEBweLWTOdGQwG8vT0vOS2HFguDi39ZWR0wIA8DgAAAFxev4/CHD9+PB06dEi+XlBQIMaBcEABAAAA99bvQWTq1Kmii2Xz5s3iOs+amTVrlhgnAgAAAO5tQMaIbNq0iRYsWEArV64khUJB+/bt6++HBQAAACcwIJVV77jjDjpz5gwdO3ZMTOUNCQkZiIcFAAAABzdga81ERkbSvHnz+nQfSZL6tZ4IAAAA2J71fdv6Pu60i97x7BrWH1N4AQAAoP/fxwMCrjxL1UPqTVyxE4vFQiUlJeTv72/zRfKsNUqKi4tJq9Xa9Hu7GpwrnCu8ruwPv4c4V870uuJowSEkOjpajA112hYRPvhBgwb162PwiUcQwbnC68p+8DuI84XXlmv+HvbUEmKF1dwAAADAbhBEAAAAwG7cNohwKflnnnlmwErKOzOcK5wrvK7sD7+HOFeu+rpy6MGqAAAA4NrctkUEAAAA7A9BBAAAAOwGQQQA7Ka2tpYOHz5MNTU1eBYA3JRbBpHs7GwaP348BQUFiYX4MEzmyiorKykhIYEKCwsH6BlyTh9//DElJiaKhR7HjBlDJ06csPchObT333+f4uPjacmSJaJeEF+HK5szZw5t2bIFp+kKli9fLgpgWi/Jyck4Xz34zW9+Q7fffjvZi9sFEZPJJE74uHHj6OjRo5Sbm4tf7B5CSHp6OkJID3hRx8WLF9Of/vQnunDhAg0dOlS8wUL39Ho9PfLII3TgwAHKysqiV199VXwogMt7++236dNPP8Up6gH/Xd+xY4doZePL8ePHcc6uIDMzk9avX09//etfyV7cLojs3LlT/BF88cUXKSkpidasWUNvvPGGvQ/LYd1zzz20cOFCex+Gw+PWDw4hP/7xjykiIoIefvhh/AHsoaz0yy+/TGlpaeL6ddddR1VVVQP1dDmd6upq+uUvf0nDhg2z96E4NLPZTDk5OTR16lQKDAwUF14iBC6/jMrSpUvpiSeeEK259uJ2QSQjI4MmTZpEPj4+4jr/IeRWEejexo0bRVMnXBm3GvEvtNXJkydpyJAhbnPa9u3b16f1oHhti3vvvVf8v6WlhV566SW68847r/rxv/32W5o4caKohcBvPo8//rh4U3IVHEL4/PDfLrg8bl3jN1fuGvX29hZdWUVFRThll/Haa6+Jc8ZdpP/73/+oubnZLudK4Y6fxHi8gxX/8VQqlRgsdxmdzxX0Dv8yv/DCC/TQQw/hlPXig0FkZCRt375dLI51NXQ6Hc2dO1f8Hm/YsIGWLVtGr7zyimihcgV79+6lL774gtatW2fvQ3F4/KGSW43++c9/ii4HHq/V+QMCdKivrxeFzLgl5Ny5c+LDwE033USNjY000Bx60bv+wC/MiyvIaTQaMhqNYvAqwLXiX25fX1+MEekFbpH87LPPxPia559//qrCA4cO/kTHrTKenp5iG38K/s9//kNPP/00ObOmpiYRrDhgoYuhZ9zKZm1pYzz2gT9M8QdQLG7a1QcffEANDQ0i6IaGhooWxNTUVBHiBjq8uV2LSHBwMFVUVHTZxksVW/+AAVyLPXv2iIGXW7duJbVajZPZA26R5IHjq1atkqfz9hUPeuU/qp1/h0NCQqi1tdXpz/9zzz0nZvjNmzfP3ofilMLDw0VXDbeaQVfnz58XXX0cQqwf0vmDQX5+Pg00twsi/Et96NAh+XpBQYGYScMBBeBa8GtpwYIFIoikpKS4zLgP/jQeFxcnfkcWLVokBnv3BY+XmT17tuiz57Eh3G21f/9+MUvm2WefFY9hHRDNrZJ8/f777+/19+epv3x8VvzGw60skydPJmfHgZanhVsHXvJ1Dl58gUvxa4rPkRX/rVcoFOJ1B5f+3lzcDcNdNDExMTTgJDfT0tIihYWFSW+++aa4vmTJEik9Pd3eh+Xw+KVSUFBg78NwWEajUUpJSZEefPBByWAwyBeLxSI5q71794rnPTIyUnrvvfekd999V/z/zjvvvOxtL1ZaWiqFh4dLU6ZMkT799FPpL3/5i+Tl5SX9+te/lrRarfT8889L27ZtkyZNmiTuf+TIEXG5ltfali1bJIVCIeXk5EjOrri4WJwL62X+/PnSn//8Z6miosLeh+aQ/vnPf0oJCQnS7t27xett6NCh0v3332/vw3JIlZWV4ndww4YN4nX217/+VdJoNFJRUdGAH4vbBRH28ccfSz4+PlJISIgIJa7wB6u/IYhc2UcffSTO0cUXZw5v1nDxj3/8Q97GAZ638R+u7m57sd///vfij111dXWXbfz797///U+EN39/f2nq1Knd3r+vdDqd+L1etmyZ5IoWLVokbd682d6H4dB++9vfSgEBAVJwcLC0fPlyqb6+3t6H5LAOHjwoPgR4e3tLiYmJ4nfSHtx29d3S0lI6duyY6CPj/mQAuLRrZsaMGaJYm7XGAFcl5gFtvG/atGmX3PbiPyc8toEHxPF+qy+//FLUeThy5Ahdf/31V7x/X/B9efYM93FzESs/Pz88pQBOwO1mzVjxlEEMAAPoWedwwOMvGPe798aVgoWtPwP94Q9/EDMAvvrqK4QQACfidoNVAaBveGCpFS9Q15f1O3hw+Pfff99lNgzPLOKCgiNHjuwyhZ5dbREyHqC4evVq+tvf/iZm4QCA83DbFhEA6J2nnnpKtDBwawj//+6776aoqKhe3Zdnd3D1Rq4KylN0ufw21wp58skn5erGjGcZcZ0MriUyc+ZM0bUyf/58US6/J6dPnxY1W7i7h0vF81ojVtauHwBwYHYZmQIADs86AJUHqMbFxYkBbXfffXeXgacX37Y7eXl50i233CJmy8TExIhZH93h2TNDhgyRVCqVGDhXUlLSq+N88cUXux0ojD9vAM7BbQerAsCVWQeQcgFAa9EjAABbwxgRAAAAsBu0iAAAAIDdoEUEAAAA7AZBBAAAAOwGQQQAAADsBkEEAAAA7MahC5pxAaWSkhJR6IirOQIAAIDj48ogBoOBoqOje1wSwqGDCIeQ2NhYex8GAAAAXIXi4mIaNGiQ8wYRbgmx/iBardbehwMAAAC9UFdXJxoSrO/jThtErN0xHEIQRAAAAJxLb4ZVYLAqAAAA2A2CCAAAANgNgggAAADYDYIIAACAm6qqN9H3xbV2PQaHHqwKAAAAtldS20ivHzhL7x4pojB/L9r7y+mkUtqnbQJBBAAAwE2cqain1/adoQ+PXyCzRRLbgnw8qdxgouhAb7scE4IIAACAi8u+oKf1+/JpZ3YpSW35g25IDKFHZiTRTcmhdq1ejiACAADgomXWDxdU0/p9Z+jAqQp5+6wRESKAXBcXRI4AQQQAAMDFAsievHJ6dW8+fVfUNhBVqfCgO0ZH00PTkmhYZM/VTgcSgggAAIALMLdaaEeWjjbsO0N5pQaxzVOloB9fP4iWTU2i2GAfckQ2HSJbWVlJCQkJVFhYKG9bvny56HuyXpKTk235kAAAAG6tqaWV3j58jma+sJ8ef/d7EUJ8PZW0bFoiHfz1DPrjD1MdNoTYtEWEQ0h6enqXEMKOHj1KO3bsoMmTJ4vrSqXSVg8JAADgtupNZtp6+Bxt+rJAzHphwb6etHhyPN13QzwF+KjJGdgsiNxzzz20cOFCOnz4sLzNbDZTTk4OTZ06lfz8/Gz1UAAAAG6rpqGZNn9dSG99XUj6xhaxLSpAQw9OSaR7JsSSj6dzjbqw2dFu3LhRdMs8/vjj8rasrCyyWCw0ZswYunDhAk2bNo1ef/11iouLs9XDAgAAuAWdvpE2Hiigd74tosaWVrEtMdSXHpqeRD8cEyPGgzgjmwURDiEXy83NpWHDhtErr7xCoaGh9MQTT9DSpUtp165d3X4Pk8kkLlZ1dXW2OjwAAACnVFDZIIqQfXD8PLW0thUBGRmtpUdnJNPskZFiRowz85B4no8tv6GHBxUUFFB8fPwl+4qKikRgqampIa1We8n+Z599llavXn3Jdr1e3+3tAQAAXFVOCRchO0M7s3TUXgSVJiYE0yMzkmnqEPsWIesJNyQEBAT06v17QINIU1MTeXt7U15enmgp6U2LSGxsLIIIAAC4jW9FEbJ82neyowjZzcPDRRGycYODyRn0JYj064iWlStX0tixY8UgVnbo0CFSKBQiXHTHy8tLXAAAANyJJEkieHAAOVJYI7Zxj0t6WjQ9PD2JRkS5bq9AvwaR0aNH09NPP00RERHU2tpKjz32GN13333k4+O485kBAAAGSqtFok+ydKIL5oSubVykp1JB88dxEbJEig/1dfkno1+DyE9/+lMxfXf+/PmifghfX7NmTX8+JAAAgMMzmVvpw+8u0Gv7z1BhlVFs8/FU0r0T42jJlESK0GrIXdh8jIi9+pgAAAAcXYPJLKbfbvzyLJXVtY2JDPRR0+LJCbRo8mAK9PEkV+AwY0QAAACAqNbYTFu+LhSXWmNbEbJIrYaWTEmgBRPiyNfLfd+O3fcnBwAA6GdldU206cuz9PbhIjI2txUhiw/xEavg3nldDHmpsOwJgggAAICNnatqoNf2n6X/HjtPza0WsY1nvjwyPYnmpkY5fREyW0IQAQAAsBGe+bJh3xnanlkiFyEbHx9Ej0xPpunDwhy6CJm9IIgAAABco2PnqunVvWdoT165vI2DBweQCQnOUYTMXhBEAAAArgJPOj1wupJe3ZsvqqEybvDgrpeHpyXRqJgAnNdeQBABAADoYxGyXdmlogpqTklbETK10oPmXzeIlk1LogQ3KEJmSwgiAAAAvdBsttBHx9uKkJ2tbBDbvNVKWiiKkCVQVIA3zuNVQBABAAC4AmOzmd79tlgUIdPpm8S2AG81LZocT/dPjqdgX9coQmYvCCIAAADd0Btb6K1DhbT5qwKqaS9CFu7vJVo/Fk4cTH5uXITMlnAWAQAAOik3NNEbBwvoX4fOUUN7EbK4YB9aNi1RjAPRqFGEzJYQRAAAAIioqMpIfz9wht7nImTmtiJkwyP96eHpSTQvNYpUSgXOUz9AEAEAALd2stRAG/bl07ZMnZgRw66LC6RHZyTTzOHhKELWzxBEAADALX1XVEPr956h3SfK5G1Th3IRsiSamBCMADJAEEQAAMCtipAdzK8UAeTQ2Sq5CNltoyLp4WnJlDoIRcgGGoIIAAC4PItFos9yS0UZ9qwLerFNpfCgO8fG0EPTkygpzM/eh+i2EEQAAMBltbR2FCE7U9FWhEyjVtA94+PowamJFBOIImT2hiACAAAup7G5lf59pIg2fllAF2obxTZ/jYoW3RBPi2+MpxA/L3sfIrRDEAEAAJehb2yhf31zjt48WEBVDc1iW6hfWxGyeyfGkb9Gbe9DhIsgiAAAgNOrMJjoza/aipAZTGaxbVCQt1iE7u5xKELmyBBEAADAaRVXG8UaMP8+Ukym9iJkQyP8RBGy29OiUYTMCSCIAACA0zldxkXIztDHGSVyEbIxsYGiBsisERGkUHjY+xChlxBEAADAaXxfXEvr9+bTZ7kdRchuSg6lR2Yk0Q2JIShC5oQQRAAAwOGLkH19porW78unr/LbipCx2SMj6JHpyTQ6NtCuxwfXBkEEAAActgjZ5yfKaP2+M5RRXCu2KRUe9IMx0fTwtCQaEuFv70MEG0AQAQAAhytCti2jRIwBOV1eL7Z5qbgIWawoQjYoyMfehwg2hCACAAAOoamlld47Wkx/33+2owiZl4p+dsNgWnxjAoX5owiZK0IQAQAAuzI0cRGyInrj4FmqrG8rQhbi60kP3JQgQogWRchcGoIIAADYRWW9iTZ/VUD/4CJkTW1FyHjtl2XTEunH18eSRq3EM+MGEEQAAGBAcbfLxgNn6d0jRdTU0laELDncTwxAvWNMNKmVCjwjbgRBBAAABkR+eb1YBZdXwzW3FyFLGxQgpuDemoIiZO4KQQQAAPpV1nm9qAGyK6eUpLb8QZOTQkQAuTEZRcjcHYIIAAD0SxGyb85WiwDy5elKefstKVyELInGxgXhrIOAIAIAADYtQvZFXrkIIMeLOoqQ3TE6mh6alkTDIlGEDLpCEAEAgGtmbrXQ9kydKEJ2sswgtnmqFPTj6wfRsqlJFBuMImTQPQQRAAC4piJk/zl2nv5+4AwVV7cVIfPzUtFPJw2mB26Kp3B/Dc4uXBGCCAAA9Fm9yUxvf3OONh0soAqDSWwL5iJkN8bTz26IpwBvNc4q9AqCCAAA9Fp1QzNt+aqAtnxdSHXtRciiAzRiDZh7xseRtyeKkEHfIIgAAECPSrgI2Zdn6d1vi6mxpVVsSwzzFQNQfzgmRowHAbgaCCIAAHBZZyvaipB9ePwCtbS2FQEZFaMVNUBmj4wUM2IArgWCCAAAXCL7gl7MgPkkWycXIZuYEEyPzkimKUNCycMDAQRsw6ZtaZWVlZSQkECFhYXytuzsbBo/fjwFBQXRypUrRZEbAABwPPz3+fDZKlr05reU/spB2pHVFkJuHh5O/334Bvr3shto6tAwhBBwzCDCISQ9Pb1LCDGZTHT77bfTuHHj6OjRo5Sbm0tbtmyx1UMCAICNAsievDK667VD9JPXv6H9pyqIe1x+MCaadv1iCr1x/3gaNzgY5xocu2vmnnvuoYULF9Lhw4flbTt37iS9Xk8vvvgi+fj40Jo1a+jRRx+lxYsX2+phAQDgGoqQcasHd8HklbYXIVMq6C5RhCyRBof44tyC8wSRjRs3im6Zxx9/XN6WkZFBkyZNEiGEpaWliVaRy+EWFL5Y1dXV2erwAADA+rfW3EoffHdBDEI9V2UU23w9lXTvpMH0/25KoAgtipCBEwYRDiEX4yDReTsPblIqlVRTUyPGjFxs7dq1tHr1alsdEgAAdNJgMtPWw0W06eBZKqtr+9AX6KOmxZMTaNHkwRTo44nzBa41a0alUpGXl1eXbRqNhoxGY7dBZNWqVbRixYouQSY2NrY/DxEAwOXVcBGyrwvprUOFVGtsEdsitRpaMiWBFkyII18vTKAE++nXV19wcLCYNdOZwWAgT8/uUzeHlouDCwAAXJ1SfRNt+vIsbf22iIzNbUXI4kN86OHpSfTDsTHkpUIVVHDxIMLTdnnsiFVBQYEYA8IBBQAA+kdhZYNYhO6/xy5Qc6tFbEuJ0tIjM5LotlFRKEIG7hNEpk6dKrpXNm/eLGbK8KyZWbNmiXEiAABgW7kldbR+Xz59kqUjS3vJpgnxwfTwjCSajvof4K5jRDZt2kQLFiwQxcwUCgXt27evPx8SAMDtHCmspvV782nvyQp524xhYfTIjGQaH48WaHCzIHJx5dQ77riDzpw5Q8eOHRNTeUNCQmz9kAAAbof/1u47VUEb9p6hbwurxTYuQjY3NUqMARkZHWDvQwTolQEZKh0ZGUnz5s0biIcCAHBprRaJdmbraP3eM5Sra6u1pFZ60PzrBtGyaUmUEIoiZOBcMGcLAMAJNJst9OHx8/Ta/rNUUNkgtnmrlbRwYpyYhhsV4G3vQwS4KggiAAAO3P2SfaGOtmeW0Mffl1BpXZPYHuCtpvsnx4tLkC+KkIFzQxABAHCw8HFCZxDhg9eBsZZgZ+H+XvTglERaMDGO/FCEDFwEgggAgAM4VcbhQycCyNmKtq4XplEr6ObhETQvLYpuHhGOImTgchBEAADs5GxFvRw+TpXVy9s9VQox/XZeWjTdPDwcJdjBpSGIAAAMoHNVDe3hQ0cn2me9WGe+TBvK4SOKZo2IIH+NGs8LuAUEEQCAfna+xkg72sNH1gV9xx9ghQfdNCSU5qVG0a0jI8UgVAB3gyACANAPdPpGOXx8X1wrb1cqPGhyUogIH7NHRmLWC7g9BBEAABspr2sS67xw+Dh6rkbe7uFBNDEhmNLToum2UZEU4odVxgGsEEQAAK5BZb2JdmWXigGnhwuqqfMqF+Pjg+TwEa7V4DwDdANBBACgj2oamunTHA4fOvr6TKW80i0bGxcowsfc1EhUOwXoBQQRAIBe0De20Gft4eOr/Eoyd0ofaYMCKD0tSiw4NyjIB+cToA8QRAAALsPQ1EK7T5TR9gwdHThdQS2tHeEjJUorptpyABkcgoXmAK4WgggAQCcNJjN9kVdO2zNKaN+pCrHYnNWwCH8RPviSFOaH8wZgAwgiAOD2Gptbae/JcjHd9ou8Mmpq6QgfiWG+YswHt3wMjfB3+3MFYGsIIgDglppaWmn/qQoRPrj7xdjcKu8bHOIjggcHkOGR/uTB828BoF8giACA2+Buli9Pt4WPz3PLyGAyy/sGBXmLLpfb06JpZLQW4QNggCCIAIBLa2m10NdnqsSYD55yW9fUET6iAjSiwmn66GgaPSgA4QPADhBEAMDlmFstorgYFxnjYmM1xhZ5X7i/l5hmy10v18UFkUKBbhcAe0IQAQCX0GqR6EhhR/iorG+W94X4etJtqZFizMf4+GCx3gsAOAYEEQBwWhaLRN8V1YgiY7zGS7nBJO8L8lHTnFFt4YPXeVEpFXY9VgDoHoIIADgVSZLEarbW8KHTN8n7tBqVWNGWx3zwCrdqhA8Ah4cgAgBOET6yL9TR9qwSMePlfE2jvM/PS0W3pkRQ+ugouik5jDxVaPkAcCYIIgDgsOHjhM5AO9rDR2GVUd7n46mkWSMixIDTqUPDSKNW2vVYAeDqIYgAgEM5XWagbZk6Mej0bEWDvF2jVtDNw9vCx/Rh4eTtifAB4AoQRADA7s5W1IsxHxw+TpXVy9u5m2XGsDCalxZNNw8PJ18v/MkCcDX4rQYAuyiqMtK2zBIRQE7o6uTtaqUHTR0SJsZ8cPeLv0aNZwjAhSGIAMCAOV9jFOM9dmTpKPO8vuMPkcKDbkwOFd0ut46MpABvhA8Ad4EgAgD9SqdvlMPH8aJaeTvXFJuc1BY+eMptkK8nngkAN4QgAgA2V17XJGp8cPg4Ulgjb+dFbLm4GBcZ42JjoX5eOPsAbg5BBABsorLeJEqr84BTXudFkjr2jY8PEuHjtlGRFK7V4IwDgAxBBACuWk1Ds1jRlgecHjpbJdZ7sRobFyjCx9zUSIoK8MZZBoBuIYgAQJ/oG1vos/bw8VV+JZk7hY+0QQE0LzWK5qVF0aAgH5xZAOgRgggA9MjQ1EK7T5TR9gwdHThdQS2tHeEjJUorggcPOh0c4ouzCQB9giACAN0yNptp94ly2p5RQvtOVVCz2SLvGxbhL8IHX5LC/HAGAeCqIYgAgKyxuZX2nSwX3S5f5JVRU0tH+EgM8xVjPrjlY2iEP84aANgEggiAm2tqaaUDpypE+ODuF2Nzq7xvcIiPCB7zUqNpRJQ/efD8WwAAG0IQAXBD3M1yML9CjPn4PLeMDCazvC8m0FuUV09PjaZRMVqEDwBw/iCyfPlyeuWVV+TrSUlJlJ+fPxAPDQDtWlot9PWZKjHmg6fc1jV1hI+oAI0822VMbCDCBwC4VhA5evQo7dixgyZPniyuK5VYvhtgIJhbLaK4GBcZ42JjNcYWeV+4vxfNTW2b7XJdXBApuOY6AICrBRGz2Uw5OTk0depU8vPD6HqA/sZFxY4UVov1XXZm66iyvlneF+LrSbelRopBp+Pjg0mJ8AEArh5EsrKyyGKx0JgxY+jChQs0bdo0ev311ykuLq6/HxrAbVgsEn1XVCMGnPIaL+UGk7wv0EctSqtz+OB1XlRKhV2PFQBgQINIbm4uDRs2TIwRCQ0NpSeeeIKWLl1Ku3btuuS2JpNJXKzq6ur6+/AAnJYkSfR9ca28sq1O3yTv02pUYkXb9NHRNDkphNQIHwDgoDwk/ms2gIqKiighIYFqampIq9V22ffss8/S6tWrL7mPXq+/5LYA7oh/XXNK6mhbZokIIOdrGuV9fl4qujUlQsx4uSk5jDxVaPkAAPvghoSAgIBevX8PeBBpamoib29vysvLEy0lPbWIxMbGIoiAW+Nf0bxSgxhwyuGjsMoo7/PxVNKsERFitsu0oWGkUWMgOAA4VxDp966ZlStX0tixY2nhwoXi+qFDh0ihUIiAcTEvLy9xAQCi02UG2sbdLpkldKaiQT4lGrWCZg4PF2M+ZgwLJ29PhA8AcF79HkRGjx5NTz/9NEVERFBrays99thjdN9995GPD1bmBLjY2Yp6MeCUWz5Olhnk7dzNMn1omBjzcfPwcPL1Qi1CAHAN/f7X7Kc//amYvjt//nxRP4Svr1mzpr8fFsBpFFUZ5TEfubqOAdpqpQdNHcLhI0p0v/hr1HY9TgCA/jDgY0T6q48JwJmcrzHKs10yz+vl7SqFB92YHCqKjN06MpICvBE+AMD5ONQYEQBoo9M30idZpWLQ6fGiWvm0cE2xyUlt4YOn3Ab5euKUAYDbQBAB6Eflhiba2R4+jhTWyNt5EVsuLsYDTueMiqRQPwzSBgD3hCACYGNV9Sbamd0WPnidl86dn+Pjg8TicrzGS7hWg3MPAG4PQQTgGle0PVlqoKwLejHWI+tCLZ3QGcR6L1Zj4wLllW2jArxxvgEAOkEQAejDSrb5FfVtgeO8njIv6OmEro6azZZLbps2KEAOH4OCMFUdAOByEEQAusEtGgWVbaGjraVDTzklempquTR08LouaYMCKXVQAKXFBNDo2ECKDkTLBwBAbyCIgNvjlWvPVRsp83yt3NKRc0FPDc2tl5wbXs9lVIy2LXjEBIiWj7hgH/Lg0acAANBnCCLgVrhsDi8UJ1o6LrQFD27tMDSZL7mtt1opQkdqTKAIHNzikRDiSwqebwsAADaBIAIuHTp0+iZ5EKm1i6XW2HLJbbmE+shorehaSR3UFjySwvxIidABANCvEETApWp2iK6V9sDBXyvrO1Zz7lw6fUSUVu5a4RaPIRF+pFYq7HLcAADuDEEEnLZWB4cN65gO/lpa13TJ7bhFY2iEf3tLR1vwGBbpT14qrFgLAOAIEETA4emNLW0tHO1jOril40Jt4yW3416U5HC/LmM6UqK0pFEjdAAAOCoEEXAohqYWyr5Q12VMx7kqY7e3TQzz7TKmg0OHrxde0gAAzgR/tcFujM1myimpay8QViu6WM5WNHR728EhPl3GdIyM0ZJWg5VpAQCcHYIIDIimllbK1dV1GkxaS/nl9dSpErosJtBb7lpJiwkUU2gDfbAiLQCAK0IQAZszmVvF+iudS6GfKuu6/opVpFYjVyTlr9zqEYKVaAEA3AaCCFzzom8cMjrPXskrraOW1ktDR6ifZ5eKpPwVK9ACALg3BBHoNW7RONO+6BuXQ+evuZdZ9C3QRy0HDg4f/JVbP1AKHQAAOkMQgcuuv1JQ1dBlTAfPZmlsuXT9FX+NSoQO65gODh2DgrwROgAAoEcIIiBKoReJRd+sFUnbQke96dL1V3w9lTSSWzrkAmGBNDjYB+uvAADAVUEQccPQwcXAOo/p4OBR182ibxo1r78S0KmLJYASQrH+CgAA2A6CiIuHjrI6U9vy9u1rr/DX6obmS27rqVTQCHnRt7bQkRzmRyqsvwIAAP0IQcSFVBhMHRVJ21s8eNvFVAoPGh7l31EKPSZArMfCK9ACAAAMJAQRJ8WtGm2LvnWUQucl77tb9G1IuF97gbBA0eLBi75h/RUAAHAECCJOQN/I6690zF7hr+drLl30zYMXfQvz61QgLFCsv+LtiUXfAADAMSGIOBieqZLDLR3twYPHdxReZtG3hFDfLsXBeDaLHxZ9AwAAJ4IgYkeNzbz+ir7LmA4uGCZ1s/5KbLC3qNFhbe3g0BHgjUXfAADAuSGIDOCib3mlhi5jOrg0eneLvkUHtK+/0l4OnS9Bvlj0DQAAXA+CSD/gkuccMjqP6eBF4MzdpI4wfy8a3b60PXexjIoJENsAAADcAYLINTK3Wuh0eX1710qt+HpCZ6Dm1kvXXwn25UXfOgaS8v8jtJprPQQAAACnhSDSx0XfzrYv+mYthc6LvjW1XBo6ePyGdRCpdeosd7lg0TcAAIAOCCJXWPStkBd9s06bPa+n7BI9GZu7WfTNSyW6VNoCR9vCbzy4FKEDAADgyhBE2kuhF1c3yl0rHDy4boehm0XfvNVKGhWj7ahKyuuvhPhi0TcAAICroHLXabP7T5V36mLRi6JhF/NSKShFXn+lLXgkhWHRNwAAAFtxyyBibDbTQ//6rss2tdKDRkRpOxUIC6QhEX6kxqJvAAAA/cYtg0iInxdNHxZGkdr2eh0xgTQ00o+8VCiFDgAAMJDcMoiwLYsn2PsQAAAA3B7WfQcAAAC7QRABAAAAu0EQAQAAALtBEAEAAAC7UTl6oTFWV1dn70MBAACAXrK+b1vfx502iBgMBvE1NjbW3ocCAAAAV/E+HhAQcMXbeEi9iSt2YrFYqKSkhPz9/W2+bgunNQ44xcXFpNVqbfq9XQ3OFc4VXlf2h99DnCtnel1xtOAQEh0dTQqFwnlbRPjgBw0a1K+PwSceQQTnCq8r+8HvIM4XXluu+XvYU0uIFQarAgAAgN0giAAAAIDduG0Q8fLyomeeeUZ8BZwrvK7wO+jo8DcL58pVX1cOPVgVAAAAXJvbtogAAACA/SGIAAAAgN0giAAAgNOpra2lw4cPU01Njb0PBa4RgggIlZWVlJCQQIWFhb06I3fccYcoMme9zJo1C2cSuvj4448pMTGRVCoVjRkzhk6cOIHXVQ/w5to777//PsXHx9OSJUtErSm+jr9ZTkxyYRUVFVJ8fLxUUFDQq9vv27dPGj58uBQSEiK98MILkrvg8zRx4kQetNzrcxUVFSVlZWVJNTU14lJfXy+5g48++khKSEiQlEqlNHr0aCk3N7fH+7jj6yo/P18KCgqS/v3vf0ulpaXS3XffLU2ePLnH+7nr64q99957UkBAgDRq1CjJx8dHXO+JO762amtrpdDQUCkjI0Nc37x5szR48OAe7+fOry2r2bNni/PVk/fff1+Ki4sT52zr1q1Sf3PZINLXN9fy8nJJq9VKq1evlk6dOiVdd9110p49eyR3cPPNN0t//etfe32uzp8/L0VGRkru5mreXN31dbVt2zbp73//u3ydf2Zvb+8r3sddX1dX++bqrq+toqIi6V//+pd8nc+Zn5/fFe/jzq8tKz5n/De+pyDCYc3T01PauHGjlJmZKSUnJ0t5eXlSf3LZINLXN9eXXnpJfLKwWCzyJ997771Xcgdnz54VX3t7rj744AMpLCxMiomJEZ/cfvKTn0jV1dWSq7uaN1d3fl11tmHDBiktLe2Kt3HX19XVvrnitSVJzc3N0v333y/97Gc/u+K5cufXFquqqpIiIiKkYcOG9RhEHn/8cdFyYvXyyy9LTz31lNSfXHaMyMaNG2n58uW9vn1GRgbNmDFDXlxvwoQJdOzYMXIHPDakL/Ly8mj06NG0Y8cO+uabb6igoIBWrVpFri49PZ2WLl0qXz958iQNGTLkivdx59eVVXNzM73wwgv00EMPXfF27vq6Yrzo2L333iv+39LSQi+99BLdeeedV7yPu7+2+OePjIykXbt20d/+9rcr3tadX1vsl7/8pXg9TZo0iXpzXmfOnClfH5DXleTievsp/0c/+pG0bt06+Tr3H3KzpzvpyxiRzvbv3y/6qN2JyWQSTZbr16+/4u3wupKk3/72t2I8DX967Qt3fF19//33UnBwsOhG4HEMV+Lury1uZTx69Kg0ZcoUaf78+X26rzu9tvbs2SPFxsZKdXV10qJFi3psEeEuvs7jk7Kzs3tszbxWLtsi0lc8sr9ziVuNRkNGo9Gux+QswsPDqaqqikwmE7kLLons6+srRu1fibu/rvbs2UOvvvoqbd26ldRqdZ/u646vq7S0NPrss89ESxteW1fGLUHjxo2jt956iz744AMx46i33OW11dTURMuWLaMNGzaQv79/r+5jj79ZCCLtgoODqaKiQj4xBoOBPD09+/XkO6uf/OQndPDgQfn6oUOHKCIiwm3W7enLm6s7v664+XvBggXiXKWkpPR4e3d/XfX1zdVdX1v79++nlStXytf5Z+bzplBc/u3MXV9bzz33HI0fP57mzZvX6/vY43WFINKOnyx+cVodP36cYmJiyJ3V1dWJ/uqLpaam0hNPPCF+sT/66CPR1/rwww+TO+jrm6u7vq4aGxvFmJof/OAHom+6vr5eXLgHEK8r27y5uutra+jQofT666+LS3FxMT355JN06623klarxWvrIvxhiev5BAYGigtff+SRR8TFoV5XkpuNe9Dr9d32VfN0X41GI33++edi/5w5c6Sf//znkju5+Fzx9MEPP/zwktvx+XnggQckX19f0ZfN0wdbWlokV2c0GqWUlBTpwQcflAwGg3zhvmq8rrri2UH8err4wq8vvK4uVVJSIsZ38KwsnkFz3333ib9BDK+tS3322Wfid9Hf31+66667xFRmhtdWV8XFxeJ3znrhsTR//vOfxfsdj0Eym83djlPiv+08dZf/vo0ZM0b6y1/+IvUntwsil3uhWqcYqtVqUSuCi1ZxrQiAa3lzxesK+uvNFa8t6KvOg1X5b9fx48e7vd2TTz4paolwOB43bpz4ENafPNoPCDo1vfNUrylTppCfnx/OC9gEXlfQX/Dagv6Qm5tLFy5coGnTpvX7GBEEEQAAALAbDFYFAAAAu0EQAQAAALtBEAEAAAC7QRABAAAAu0EQAQAAALtBEAEAAAC7QRABAAAAu0EQAQAAALtBEAEAAACyl/8P+yqEYTxZdMoAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "#plot 1:\n",
    "xpoints=np.array([0,6])\n",
    "ypoints=np.array([0,100])\n",
    "plt.subplot(2,1,1)\n",
    "plt.plot(xpoints,ypoints)\n",
    "plt.title(\"plot 1\")\n",
    "#plot 2:\n",
    "x=np.array([1,2,3,4])\n",
    "y=np.array([1,4,9,16])\n",
    "plt.subplot(2,1,2)\n",
    "plt.plot(x,y)\n",
    "plt.title(\"plot 2\")\n",
    "plt.suptitle(\"RUNOOB subplot Test\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c7f9a5ae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "# 1．准备数据\n",
    "labels =['草果','香蕉','橙子','葡萄']#类别标签\n",
    "sizes=[35,25,20,20]           #各部分大小\n",
    "explode =[0.1, 0, 0, 0]  # 突出显示第一部分（苹果）\n",
    "\n",
    "# 2.创建画布\n",
    "plt.figure(figsize=(8,8),dpi=100)\n",
    "\n",
    "#3.绘制饼图\n",
    "wedges,texts,autotexts = plt.pie(\n",
    "  sizes,\n",
    "  explode=explode,    #突出显示设置\n",
    "  labels=labels,      #类别标签\n",
    "  autopct=\"%1.1f%%\",   #显示百分比（保留1位小数）\n",
    "  shadow=True,        #阴影效果\n",
    "  startangle=90,      #起始角度（90度为从正上方开始）\n",
    "  colors=['red','yellow','orange','purple'],#自定义额色\n",
    "  textprops={'fontsize': 12},   #标签文字大小\n",
    "  pctdistance=0.85,     #百分比文字距离圆心的距离（0-1）\n",
    "  wedgeprops={'edgecolor':'white','linewidth':2}#扇区边柜\n",
    ")\n",
    "\n",
    "# 4．美化文本\n",
    "plt.setp(autotexts,size=18,weight='bold',color='white')#百分比文字样式\n",
    "plt.title('水果销量占比',fontsize=15) #标题\n",
    "          \n",
    "# 5．保证饼图为正圆形\n",
    "plt.axis('equal')\n",
    "#6，显示图表\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "f4547cb0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "labels =['优秀','良好','中等','及格','不及格','缺考']\n",
    "sizes =[15,25,30,10,8,12]\n",
    "explode =[0, 0, 0, 0, 0, 0]\n",
    "\n",
    "plt.figure(figsize=(8,8),dpi=100)\n",
    "\n",
    "wedges,texts,autotexts = plt.pie(\n",
    "  sizes,\n",
    "  explode=explode,    #突出显示设置\n",
    "  labels=labels,      #类别标签\n",
    "  autopct=\"%1.0f%%\",  #显示百分比\n",
    "  shadow=True,        #阴影效果\n",
    "  startangle=90,      #起始角度（90度为从正上方开始）\n",
    "  colors=['#ff9999','#66b3ff','#99ff99','#ffcc99','#ff99cc','#c2c2f0'],#自定义额色\n",
    "  textprops={'fontsize': 12},   #标签文字大小\n",
    "  pctdistance=0.85,     #百分比文字距离圆心的距离（0-1）\n",
    "  wedgeprops={'edgecolor':'white','linewidth':2}#扇区边柜\n",
    ")\n",
    "\n",
    "plt.setp(autotexts,size=18,weight='bold',color='white')#百分比文字样式\n",
    "plt.title('班级成绩等级分布',fontsize=15) #标题\n",
    "\n",
    "plt.axis('equal')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "de42c8e4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "# 数据\n",
    "x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]\n",
    "y = [8, 12, 10, 9, 11, 15, 18, 16, 13, 14, 17, 20]\n",
    "\n",
    "# 绘制图表\n",
    "plt.plot(x, y, color='red',marker='o')\n",
    "plt.title('2024年奶茶店销售额')\n",
    "plt.xlabel('月份')\n",
    "plt.ylabel('销售额(万元)')\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0be52bef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "#1，准备数据\n",
    "np.random.seed(42)#设置随机种子，保证结果可复现\n",
    "x=np.random.randn(200)#200个符合正态分布的x值\n",
    "y=2*x + np.random.randn(200)*0.5 #y与x大致呈线性关系，加噪声\n",
    "sizes =np.random.randint(10,100,200)#点的大小(10-100随机)\n",
    "colors=np.random.rand(200)#点的颜色(0-1随机，用于颜色映射>\n",
    "#2．创建画布\n",
    "plt.figure(figsize=(10,6),dpi=100)\n",
    "#3，绘制散点图\n",
    "scatter = plt.scatter(\n",
    " x, y,\n",
    " s=sizes,  # 点的大小\n",
    " c=colors,  #点的颜色（或颜色索引）\n",
    " alpha=0.7,  # 透明度(θ-1)\n",
    " marker='o',  # 点形状\n",
    " cmap='viridis',  #颜色映射方案（可选：plasma，inferno等）\n",
    " edgecolors='black',  #点边缘颜色\n",
    " linewidths=0.5  #点边缘宽度\n",
    ")\n",
    "# 4．设置图表属性\n",
    "plt.title('变量x与y的散点图',fontsize=15)\n",
    "plt.xlabel('x值',fontsize=12)\n",
    "plt.ylabel('y值',fontsize=12)\n",
    "plt.grid(True,linestyle=':',alpha=0.5)\n",
    "plt.colorbar(scatter,label='颜色强度')  #添加颜色映射条\n",
    "# 5．显示图表\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "72bd4828",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "x = [89, 129, 169, 199, 229, 269, 299, 329, 369, 399]  \n",
    "y = [1200, 950, 800, 720, 600, 550, 480, 400, 300, 250] \n",
    "\n",
    "plt.figure(figsize=(10,6),dpi=100)\n",
    "\n",
    "scatter = plt.scatter(\n",
    " x, y,\n",
    " c='blue',  #点的颜色（或颜色索引）\n",
    " marker='o',  # 点形状\n",
    ")\n",
    "\n",
    "#趋势线\n",
    "z = np.polyfit(x, y, 1)\n",
    "p = np.poly1d(z)\n",
    "plt.plot(x, p(x), \"r--\")\n",
    "\n",
    "# 设置图表\n",
    "plt.title('连衣裙单价与月销量关系')\n",
    "plt.xlabel('单价(元)')\n",
    "plt.ylabel('月销量(件)')\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.13.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
